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GetFreeCourses.Co-Udemy-TensorFlow Developer Certificate in 2021 Zero to Mastery
magnet:?xt=urn:btih:2bbba8814aa4a7eb12d696b95bd31b6e18f65820&dn=GetFreeCourses.Co-Udemy-TensorFlow Developer Certificate in 2021 Zero to Mastery
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Hash值:
2bbba8814aa4a7eb12d696b95bd31b6e18f65820
点击数:
228
文件大小:
18.52 GB
文件数量:
243
创建日期:
2021-5-30 15:59
最后访问:
2024-5-10 08:04
访问标签:
GetFreeCourses
Co-Udemy-TensorFlow
Developer
Certificate
in
2021
Zero
to
Mastery
文件列表详情
1. Introduction/1. Course Outline.mp4 58.03 MB
16. Appendix Machine Learning Primer/10. Section Review.mp4 5.56 MB
16. Appendix Machine Learning Primer/2. What is Machine Learning.mp4 28.31 MB
16. Appendix Machine Learning Primer/3. AIMachine LearningData Science.mp4 19.67 MB
16. Appendix Machine Learning Primer/4. Exercise Machine Learning Playground.mp4 42.56 MB
16. Appendix Machine Learning Primer/5. How Did We Get Here.mp4 30.49 MB
16. Appendix Machine Learning Primer/6. Exercise YouTube Recommendation Engine.mp4 19.43 MB
16. Appendix Machine Learning Primer/7. Types of Machine Learning.mp4 22.81 MB
16. Appendix Machine Learning Primer/9. What Is Machine Learning Round 2.mp4 25.51 MB
17. Appendix Machine Learning and Data Science Framework/10. Modelling - Picking the Model.mp4 23.24 MB
17. Appendix Machine Learning and Data Science Framework/11. Modelling - Tuning.mp4 15.98 MB
17. Appendix Machine Learning and Data Science Framework/12. Modelling - Comparison.mp4 44.86 MB
17. Appendix Machine Learning and Data Science Framework/14. Experimentation.mp4 21.3 MB
17. Appendix Machine Learning and Data Science Framework/15. Tools We Will Use.mp4 27.34 MB
17. Appendix Machine Learning and Data Science Framework/2. Section Overview.mp4 13.34 MB
17. Appendix Machine Learning and Data Science Framework/3. Introducing Our Framework.mp4 11.39 MB
17. Appendix Machine Learning and Data Science Framework/4. 6 Step Machine Learning Framework.mp4 23.45 MB
17. Appendix Machine Learning and Data Science Framework/5. Types of Machine Learning Problems.mp4 60.46 MB
17. Appendix Machine Learning and Data Science Framework/6. Types of Data.mp4 29.31 MB
17. Appendix Machine Learning and Data Science Framework/7. Types of Evaluation.mp4 17.74 MB
17. Appendix Machine Learning and Data Science Framework/8. Features In Data.mp4 36.78 MB
17. Appendix Machine Learning and Data Science Framework/9. Modelling - Splitting Data.mp4 27.55 MB
18. Appendix Pandas for Data Analysis/10. Manipulating Data.mp4 105 MB
18. Appendix Pandas for Data Analysis/11. Manipulating Data 2.mp4 86.56 MB
18. Appendix Pandas for Data Analysis/12. Manipulating Data 3.mp4 91.07 MB
18. Appendix Pandas for Data Analysis/14. How To Download The Course Assignments.mp4 66.79 MB
18. Appendix Pandas for Data Analysis/2. Section Overview.mp4 10.87 MB
18. Appendix Pandas for Data Analysis/4. Pandas Introduction.mp4 27.46 MB
18. Appendix Pandas for Data Analysis/5. Series, Data Frames and CSVs.mp4 95.43 MB
18. Appendix Pandas for Data Analysis/7. Describing Data with Pandas.mp4 75.65 MB
18. Appendix Pandas for Data Analysis/8. Selecting and Viewing Data with Pandas.mp4 72.29 MB
18. Appendix Pandas for Data Analysis/9. Selecting and Viewing Data with Pandas Part 2.mp4 106.49 MB
19. Appendix NumPy/10. Manipulating Arrays 2.mp4 67.91 MB
19. Appendix NumPy/11. Standard Deviation and Variance.mp4 51.13 MB
19. Appendix NumPy/12. Reshape and Transpose.mp4 53.57 MB
19. Appendix NumPy/13. Dot Product vs Element Wise.mp4 83.8 MB
19. Appendix NumPy/14. Exercise Nut Butter Store Sales.mp4 91.27 MB
19. Appendix NumPy/15. Comparison Operators.mp4 26.38 MB
19. Appendix NumPy/16. Sorting Arrays.mp4 32.82 MB
19. Appendix NumPy/17. Turn Images Into NumPy Arrays.mp4 85.98 MB
19. Appendix NumPy/2. Section Overview.mp4 13.36 MB
19. Appendix NumPy/3. NumPy Introduction.mp4 26.86 MB
19. Appendix NumPy/5. NumPy DataTypes and Attributes.mp4 78.97 MB
19. Appendix NumPy/6. Creating NumPy Arrays.mp4 66.84 MB
19. Appendix NumPy/7. NumPy Random Seed.mp4 51.95 MB
19. Appendix NumPy/8. Viewing Arrays and Matrices.mp4 70.66 MB
19. Appendix NumPy/9. Manipulating Arrays.mp4 80.67 MB
2. Deep Learning and TensorFlow Fundamentals/1. What is deep learning.mp4 34.17 MB
2. Deep Learning and TensorFlow Fundamentals/10. Creating your first tensors with TensorFlow and tf.constant().mp4 134.83 MB
2. Deep Learning and TensorFlow Fundamentals/11. Creating tensors with TensorFlow and tf.Variable().mp4 70.85 MB
2. Deep Learning and TensorFlow Fundamentals/12. Creating random tensors with TensorFlow.mp4 88.45 MB
2. Deep Learning and TensorFlow Fundamentals/13. Shuffling the order of tensors.mp4 89.86 MB
2. Deep Learning and TensorFlow Fundamentals/14. Creating tensors from NumPy arrays.mp4 101.34 MB
2. Deep Learning and TensorFlow Fundamentals/15. Getting information from your tensors (tensor attributes).mp4 87.39 MB
2. Deep Learning and TensorFlow Fundamentals/16. Indexing and expanding tensors.mp4 86.57 MB
2. Deep Learning and TensorFlow Fundamentals/17. Manipulating tensors with basic operations.mp4 45.22 MB
2. Deep Learning and TensorFlow Fundamentals/18. Matrix multiplication with tensors part 1.mp4 100.85 MB
2. Deep Learning and TensorFlow Fundamentals/19. Matrix multiplication with tensors part 2.mp4 107.79 MB
2. Deep Learning and TensorFlow Fundamentals/2. Why use deep learning.mp4 62.32 MB
2. Deep Learning and TensorFlow Fundamentals/20. Matrix multiplication with tensors part 3.mp4 80.62 MB
2. Deep Learning and TensorFlow Fundamentals/21. Changing the datatype of tensors.mp4 71.39 MB
2. Deep Learning and TensorFlow Fundamentals/22. Tensor aggregation (finding the min, max, mean & more).mp4 89.58 MB
2. Deep Learning and TensorFlow Fundamentals/23. Tensor troubleshooting example (updating tensor datatypes).mp4 69.39 MB
2. Deep Learning and TensorFlow Fundamentals/24. Finding the positional minimum and maximum of a tensor (argmin and argmax).mp4 96.5 MB
2. Deep Learning and TensorFlow Fundamentals/25. Squeezing a tensor (removing all 1-dimension axes).mp4 30.2 MB
2. Deep Learning and TensorFlow Fundamentals/26. One-hot encoding tensors.mp4 59.73 MB
2. Deep Learning and TensorFlow Fundamentals/27. Trying out more tensor math operations.mp4 55.93 MB
2. Deep Learning and TensorFlow Fundamentals/28. Exploring TensorFlow and NumPy's compatibility.mp4 43.75 MB
2. Deep Learning and TensorFlow Fundamentals/29. Making sure our tensor operations run really fast on GPUs.mp4 110.91 MB
2. Deep Learning and TensorFlow Fundamentals/3. What are neural networks.mp4 63.43 MB
2. Deep Learning and TensorFlow Fundamentals/4. What is deep learning already being used for.mp4 76.21 MB
2. Deep Learning and TensorFlow Fundamentals/5. What is and why use TensorFlow.mp4 69.16 MB
2. Deep Learning and TensorFlow Fundamentals/6. What is a Tensor.mp4 27.58 MB
2. Deep Learning and TensorFlow Fundamentals/7. What we're going to cover throughout the course.mp4 29.38 MB
2. Deep Learning and TensorFlow Fundamentals/8. How to approach this course.mp4 26.18 MB
3. Neural network regression with TensorFlow/1. Introduction to Neural Network Regression with TensorFlow.mp4 60.06 MB
3. Neural network regression with TensorFlow/10. Evaluating a TensorFlow model part 2 (the three datasets).mp4 81.56 MB
3. Neural network regression with TensorFlow/11. Evaluating a TensorFlow model part 3 (getting a model summary).mp4 192.79 MB
3. Neural network regression with TensorFlow/12. Evaluating a TensorFlow model part 4 (visualising a model's layers).mp4 70.28 MB
3. Neural network regression with TensorFlow/13. Evaluating a TensorFlow model part 5 (visualising a model's predictions).mp4 78.88 MB
3. Neural network regression with TensorFlow/14. Evaluating a TensorFlow model part 6 (common regression evaluation metrics).mp4 70.37 MB
3. Neural network regression with TensorFlow/15. Evaluating a TensorFlow regression model part 7 (mean absolute error).mp4 56.09 MB
3. Neural network regression with TensorFlow/16. Evaluating a TensorFlow regression model part 7 (mean square error).mp4 32.31 MB
3. Neural network regression with TensorFlow/17. Setting up TensorFlow modelling experiments part 1 (start with a simple model).mp4 127.26 MB
3. Neural network regression with TensorFlow/18. Setting up TensorFlow modelling experiments part 2 (increasing complexity).mp4 95.63 MB
3. Neural network regression with TensorFlow/19. Comparing and tracking your TensorFlow modelling experiments.mp4 92.25 MB
3. Neural network regression with TensorFlow/2. Inputs and outputs of a neural network regression model.mp4 57.57 MB
3. Neural network regression with TensorFlow/20. How to save a TensorFlow model.mp4 92.29 MB
3. Neural network regression with TensorFlow/21. How to load and use a saved TensorFlow model.mp4 104.37 MB
3. Neural network regression with TensorFlow/22. (Optional) How to save and download files from Google Colab.mp4 67.7 MB
3. Neural network regression with TensorFlow/23. Putting together what we've learned part 1 (preparing a dataset).mp4 143.51 MB
3. Neural network regression with TensorFlow/24. Putting together what we've learned part 2 (building a regression model).mp4 121.38 MB
3. Neural network regression with TensorFlow/25. Putting together what we've learned part 3 (improving our regression model).mp4 155.11 MB
3. Neural network regression with TensorFlow/26. Preprocessing data with feature scaling part 1 (what is feature scaling).mp4 92.51 MB
3. Neural network regression with TensorFlow/27. Preprocessing data with feature scaling part 2 (normalising our data).mp4 97.18 MB
3. Neural network regression with TensorFlow/28. Preprocessing data with feature scaling part 3 (fitting a model on scaled data).mp4 75.72 MB
3. Neural network regression with TensorFlow/3. Anatomy and architecture of a neural network regression model.mp4 59 MB
3. Neural network regression with TensorFlow/4. Creating sample regression data (so we can model it).mp4 90.16 MB
3. Neural network regression with TensorFlow/5. The major steps in modelling with TensorFlow.mp4 181.81 MB
3. Neural network regression with TensorFlow/6. Steps in improving a model with TensorFlow part 1.mp4 45.82 MB
3. Neural network regression with TensorFlow/7. Steps in improving a model with TensorFlow part 2.mp4 90.23 MB
3. Neural network regression with TensorFlow/8. Steps in improving a model with TensorFlow part 3.mp4 132.94 MB
3. Neural network regression with TensorFlow/9. Evaluating a TensorFlow model part 1 (visualise, visualise, visualise).mp4 66.94 MB
4. Neural network classification in TensorFlow/1. Introduction to neural network classification in TensorFlow.mp4 72.81 MB
4. Neural network classification in TensorFlow/10. Make our poor classification model work for a regression dataset.mp4 123.01 MB
4. Neural network classification in TensorFlow/11. Non-linearity part 1 Straight lines and non-straight lines.mp4 95.62 MB
4. Neural network classification in TensorFlow/12. Non-linearity part 2 Building our first neural network with non-linearity.mp4 59 MB
4. Neural network classification in TensorFlow/13. Non-linearity part 3 Upgrading our non-linear model with more layers.mp4 123.24 MB
4. Neural network classification in TensorFlow/14. Non-linearity part 4 Modelling our non-linear data once and for all.mp4 96.62 MB
4. Neural network classification in TensorFlow/15. Non-linearity part 5 Replicating non-linear activation functions from scratch.mp4 146.61 MB
4. Neural network classification in TensorFlow/16. Getting great results in less time by tweaking the learning rate.mp4 136.78 MB
4. Neural network classification in TensorFlow/17. Using the TensorFlow History object to plot a model's loss curves.mp4 62.12 MB
4. Neural network classification in TensorFlow/18. Using callbacks to find a model's ideal learning rate.mp4 155.88 MB
4. Neural network classification in TensorFlow/19. Training and evaluating a model with an ideal learning rate.mp4 89.01 MB
4. Neural network classification in TensorFlow/2. Example classification problems (and their inputs and outputs).mp4 50.71 MB
4. Neural network classification in TensorFlow/20. Introducing more classification evaluation methods.mp4 42.21 MB
4. Neural network classification in TensorFlow/21. Finding the accuracy of our classification model.mp4 34.07 MB
4. Neural network classification in TensorFlow/22. Creating our first confusion matrix (to see where our model is getting confused).mp4 65.7 MB
4. Neural network classification in TensorFlow/23. Making our confusion matrix prettier.mp4 114.12 MB
4. Neural network classification in TensorFlow/24. Putting things together with multi-class classification part 1 Getting the data.mp4 87.22 MB
4. Neural network classification in TensorFlow/25. Multi-class classification part 2 Becoming one with the data.mp4 48.65 MB
4. Neural network classification in TensorFlow/26. Multi-class classification part 3 Building a multi-class classification model.mp4 142.8 MB
4. Neural network classification in TensorFlow/27. Multi-class classification part 4 Improving performance with normalisation.mp4 113.41 MB
4. Neural network classification in TensorFlow/28. Multi-class classification part 5 Comparing normalised and non-normalised data.mp4 26.77 MB
4. Neural network classification in TensorFlow/29. Multi-class classification part 6 Finding the ideal learning rate.mp4 73.34 MB
4. Neural network classification in TensorFlow/3. Input and output tensors of classification problems.mp4 51.01 MB
4. Neural network classification in TensorFlow/30. Multi-class classification part 7 Evaluating our model.mp4 119.14 MB
4. Neural network classification in TensorFlow/31. Multi-class classification part 8 Creating a confusion matrix.mp4 40.52 MB
4. Neural network classification in TensorFlow/32. Multi-class classification part 9 Visualising random model predictions.mp4 65.68 MB
4. Neural network classification in TensorFlow/33. What patterns is our model learning.mp4 127.96 MB
4. Neural network classification in TensorFlow/4. Typical architecture of neural network classification models with TensorFlow.mp4 112.73 MB
4. Neural network classification in TensorFlow/5. Creating and viewing classification data to model.mp4 106.08 MB
4. Neural network classification in TensorFlow/6. Checking the input and output shapes of our classification data.mp4 38.15 MB
4. Neural network classification in TensorFlow/7. Building a not very good classification model with TensorFlow.mp4 125.29 MB
4. Neural network classification in TensorFlow/8. Trying to improve our not very good classification model.mp4 84.29 MB
4. Neural network classification in TensorFlow/9. Creating a function to view our model's not so good predictions.mp4 160.55 MB
5. Computer Vision and Convolutional Neural Networks in TensorFlow/1. Introduction to Computer Vision with TensorFlow.mp4 75.01 MB
5. Computer Vision and Convolutional Neural Networks in TensorFlow/10. Improving our non-CNN model by adding more layers.mp4 106.47 MB
5. Computer Vision and Convolutional Neural Networks in TensorFlow/11. Breaking our CNN model down part 1 Becoming one with the data.mp4 90.92 MB
5. Computer Vision and Convolutional Neural Networks in TensorFlow/12. Breaking our CNN model down part 2 Preparing to load our data.mp4 109.48 MB
5. Computer Vision and Convolutional Neural Networks in TensorFlow/13. Breaking our CNN model down part 3 Loading our data with ImageDataGenerator.mp4 0 字节
5. Computer Vision and Convolutional Neural Networks in TensorFlow/14. Breaking our CNN model down part 4 Building a baseline CNN model.mp4 85.3 MB
5. Computer Vision and Convolutional Neural Networks in TensorFlow/15. Breaking our CNN model down part 5 Looking inside a Conv2D layer.mp4 186.04 MB
5. Computer Vision and Convolutional Neural Networks in TensorFlow/16. Breaking our CNN model down part 6 Compiling and fitting our baseline CNN.mp4 0 字节
5. Computer Vision and Convolutional Neural Networks in TensorFlow/17. Breaking our CNN model down part 7 Evaluating our CNN's training curves.mp4 0 字节
5. Computer Vision and Convolutional Neural Networks in TensorFlow/18. Breaking our CNN model down part 8 Reducing overfitting with Max Pooling.mp4 0 字节
5. Computer Vision and Convolutional Neural Networks in TensorFlow/19. Breaking our CNN model down part 9 Reducing overfitting with data augmentation.mp4 0 字节
5. Computer Vision and Convolutional Neural Networks in TensorFlow/2. Introduction to Convolutional Neural Networks (CNNs) with TensorFlow.mp4 76.65 MB
5. Computer Vision and Convolutional Neural Networks in TensorFlow/20. Breaking our CNN model down part 10 Visualizing our augmented data.mp4 157.62 MB
5. Computer Vision and Convolutional Neural Networks in TensorFlow/21. Breaking our CNN model down part 11 Training a CNN model on augmented data.mp4 0 字节
5. Computer Vision and Convolutional Neural Networks in TensorFlow/22. Breaking our CNN model down part 12 Discovering the power of shuffling data.mp4 0 字节
5. Computer Vision and Convolutional Neural Networks in TensorFlow/23. Breaking our CNN model down part 13 Exploring options to improve our model.mp4 0 字节
5. Computer Vision and Convolutional Neural Networks in TensorFlow/24. Downloading a custom image to make predictions on.mp4 53.08 MB
5. Computer Vision and Convolutional Neural Networks in TensorFlow/25. Writing a helper function to load and preprocessing custom images.mp4 105.15 MB
5. Computer Vision and Convolutional Neural Networks in TensorFlow/26. Making a prediction on a custom image with our trained CNN.mp4 99.9 MB
5. Computer Vision and Convolutional Neural Networks in TensorFlow/27. Multi-class CNN's part 1 Becoming one with the data.mp4 140.19 MB
5. Computer Vision and Convolutional Neural Networks in TensorFlow/28. Multi-class CNN's part 2 Preparing our data (turning it into tensors).mp4 72.72 MB
5. Computer Vision and Convolutional Neural Networks in TensorFlow/29. Multi-class CNN's part 3 Building a multi-class CNN model.mp4 89.24 MB
5. Computer Vision and Convolutional Neural Networks in TensorFlow/3. Downloading an image dataset for our first Food Vision model.mp4 72.94 MB
5. Computer Vision and Convolutional Neural Networks in TensorFlow/30. Multi-class CNN's part 4 Fitting a multi-class CNN model to the data.mp4 59.66 MB
5. Computer Vision and Convolutional Neural Networks in TensorFlow/31. Multi-class CNN's part 5 Evaluating our multi-class CNN model.mp4 41.05 MB
5. Computer Vision and Convolutional Neural Networks in TensorFlow/32. Multi-class CNN's part 6 Trying to fix overfitting by removing layers.mp4 129.83 MB
5. Computer Vision and Convolutional Neural Networks in TensorFlow/33. Multi-class CNN's part 7 Trying to fix overfitting with data augmentation.mp4 0 字节
5. Computer Vision and Convolutional Neural Networks in TensorFlow/34. Multi-class CNN's part 8 Things you could do to improve your CNN model.mp4 43.29 MB
5. Computer Vision and Convolutional Neural Networks in TensorFlow/35. Multi-class CNN's part 9 Making predictions with our model on custom images.mp4 0 字节
5. Computer Vision and Convolutional Neural Networks in TensorFlow/36. Saving and loading our trained CNN model.mp4 69.28 MB
5. Computer Vision and Convolutional Neural Networks in TensorFlow/4. Becoming One With Data.mp4 45.61 MB
5. Computer Vision and Convolutional Neural Networks in TensorFlow/5. Becoming One With Data Part 2.mp4 104.59 MB
5. Computer Vision and Convolutional Neural Networks in TensorFlow/6. Becoming One With Data Part 3.mp4 39.89 MB
5. Computer Vision and Convolutional Neural Networks in TensorFlow/7. Building an end to end CNN Model.mp4 155.09 MB
5. Computer Vision and Convolutional Neural Networks in TensorFlow/8. Using a GPU to run our CNN model 5x faster.mp4 114.94 MB
5. Computer Vision and Convolutional Neural Networks in TensorFlow/9. Trying a non-CNN model on our image data.mp4 100.56 MB
6. Transfer Learning in TensorFlow Part 1 Feature extraction/1. What is and why use transfer learning.mp4 65.81 MB
6. Transfer Learning in TensorFlow Part 1 Feature extraction/10. Comparing Our Model's Results.mp4 143.93 MB
6. Transfer Learning in TensorFlow Part 1 Feature extraction/2. Downloading and preparing data for our first transfer learning model.mp4 132.67 MB
6. Transfer Learning in TensorFlow Part 1 Feature extraction/3. Introducing Callbacks in TensorFlow and making a callback to track our models.mp4 94.89 MB
6. Transfer Learning in TensorFlow Part 1 Feature extraction/4. Exploring the TensorFlow Hub website for pretrained models.mp4 102.96 MB
6. Transfer Learning in TensorFlow Part 1 Feature extraction/5. Building and compiling a TensorFlow Hub feature extraction model.mp4 135.63 MB
6. Transfer Learning in TensorFlow Part 1 Feature extraction/6. Blowing our previous models out of the water with transfer learning.mp4 99.46 MB
6. Transfer Learning in TensorFlow Part 1 Feature extraction/7. Plotting the loss curves of our ResNet feature extraction model.mp4 62.09 MB
6. Transfer Learning in TensorFlow Part 1 Feature extraction/8. Building and training a pre-trained EfficientNet model on our data.mp4 105.93 MB
6. Transfer Learning in TensorFlow Part 1 Feature extraction/9. Different Types of Transfer Learning.mp4 110.57 MB
7. Transfer Learning in TensorFlow Part 2 Fine tuning/1. Introduction to Transfer Learning in TensorFlow Part 2 Fine-tuning.mp4 61.46 MB
7. Transfer Learning in TensorFlow Part 2 Fine tuning/10. Downloading and preparing the data for Model 1 (1 percent of training data).mp4 97.8 MB
7. Transfer Learning in TensorFlow Part 2 Fine tuning/11. Building a data augmentation layer to use inside our model.mp4 117.46 MB
7. Transfer Learning in TensorFlow Part 2 Fine tuning/12. Visualising what happens when images pass through our data augmentation layer.mp4 119.36 MB
7. Transfer Learning in TensorFlow Part 2 Fine tuning/13. Building Model 1 (with a data augmentation layer and 1% of training data).mp4 152.95 MB
7. Transfer Learning in TensorFlow Part 2 Fine tuning/14. Building Model 2 (with a data augmentation layer and 10% of training data).mp4 159.77 MB
7. Transfer Learning in TensorFlow Part 2 Fine tuning/15. Creating a ModelCheckpoint to save our model's weights during training.mp4 68.99 MB
7. Transfer Learning in TensorFlow Part 2 Fine tuning/16. Fitting and evaluating Model 2 (and saving its weights using ModelCheckpoint).mp4 68.15 MB
7. Transfer Learning in TensorFlow Part 2 Fine tuning/17. Loading and comparing saved weights to our existing trained Model 2.mp4 62.67 MB
7. Transfer Learning in TensorFlow Part 2 Fine tuning/18. Preparing Model 3 (our first fine-tuned model).mp4 198.23 MB
7. Transfer Learning in TensorFlow Part 2 Fine tuning/19. Fitting and evaluating Model 3 (our first fine-tuned model).mp4 69.16 MB
7. Transfer Learning in TensorFlow Part 2 Fine tuning/2. Importing a script full of helper functions (and saving lots of space).mp4 89.39 MB
7. Transfer Learning in TensorFlow Part 2 Fine tuning/20. Comparing our model's results before and after fine-tuning.mp4 84.18 MB
7. Transfer Learning in TensorFlow Part 2 Fine tuning/21. Downloading and preparing data for our biggest experiment yet (Model 4).mp4 56.68 MB
7. Transfer Learning in TensorFlow Part 2 Fine tuning/22. Preparing our final modelling experiment (Model 4).mp4 96.42 MB
7. Transfer Learning in TensorFlow Part 2 Fine tuning/23. Fine-tuning Model 4 on 100% of the training data and evaluating its results.mp4 96.84 MB
7. Transfer Learning in TensorFlow Part 2 Fine tuning/24. Comparing our modelling experiment results in TensorBoard.mp4 95.75 MB
7. Transfer Learning in TensorFlow Part 2 Fine tuning/25. How to view and delete previous TensorBoard experiments.mp4 21.91 MB
7. Transfer Learning in TensorFlow Part 2 Fine tuning/3. Downloading and turning our images into a TensorFlow BatchDataset.mp4 173.6 MB
7. Transfer Learning in TensorFlow Part 2 Fine tuning/4. Discussing the four (actually five) modelling experiments we're running.mp4 15.87 MB
7. Transfer Learning in TensorFlow Part 2 Fine tuning/5. Comparing the TensorFlow Keras Sequential API versus the Functional API.mp4 26.45 MB
7. Transfer Learning in TensorFlow Part 2 Fine tuning/6. Creating our first model with the TensorFlow Keras Functional API.mp4 132.18 MB
7. Transfer Learning in TensorFlow Part 2 Fine tuning/7. Compiling and fitting our first Functional API model.mp4 132.84 MB
7. Transfer Learning in TensorFlow Part 2 Fine tuning/8. Getting a feature vector from our trained model.mp4 147.62 MB
7. Transfer Learning in TensorFlow Part 2 Fine tuning/9. Drilling into the concept of a feature vector (a learned representation).mp4 51.5 MB
8. Transfer Learning with TensorFlow Part 3 Scaling Up/1. Introduction to Transfer Learning Part 3 Scaling Up.mp4 41.53 MB
8. Transfer Learning with TensorFlow Part 3 Scaling Up/10. Downloading a pretrained model to make and evaluate predictions with.mp4 78.69 MB
8. Transfer Learning with TensorFlow Part 3 Scaling Up/11. Making predictions with our trained model on 25,250 test samples.mp4 115.59 MB
8. Transfer Learning with TensorFlow Part 3 Scaling Up/12. Unravelling our test dataset for comparing ground truth labels to predictions.mp4 43.81 MB
8. Transfer Learning with TensorFlow Part 3 Scaling Up/13. Confirming our model's predictions are in the same order as the test labels.mp4 50.54 MB
8. Transfer Learning with TensorFlow Part 3 Scaling Up/14. Creating a confusion matrix for our model's 101 different classes.mp4 156.6 MB
8. Transfer Learning with TensorFlow Part 3 Scaling Up/15. Evaluating every individual class in our dataset.mp4 131.77 MB
8. Transfer Learning with TensorFlow Part 3 Scaling Up/16. Plotting our model's F1-scores for each separate class.mp4 77.94 MB
8. Transfer Learning with TensorFlow Part 3 Scaling Up/17. Creating a function to load and prepare images for making predictions.mp4 109.54 MB
8. Transfer Learning with TensorFlow Part 3 Scaling Up/18. Making predictions on our test images and evaluating them.mp4 171.68 MB
8. Transfer Learning with TensorFlow Part 3 Scaling Up/19. Discussing the benefits of finding your model's most wrong predictions.mp4 59.3 MB
8. Transfer Learning with TensorFlow Part 3 Scaling Up/2. Getting helper functions ready and downloading data to model.mp4 131.54 MB
8. Transfer Learning with TensorFlow Part 3 Scaling Up/20. Writing code to uncover our model's most wrong predictions.mp4 109.6 MB
8. Transfer Learning with TensorFlow Part 3 Scaling Up/21. Plotting and visualising the samples our model got most wrong.mp4 125.49 MB
8. Transfer Learning with TensorFlow Part 3 Scaling Up/22. Making predictions on and plotting our own custom images.mp4 108.3 MB
8. Transfer Learning with TensorFlow Part 3 Scaling Up/3. Outlining the model we're going to build and building a ModelCheckpoint callback.mp4 40.61 MB
8. Transfer Learning with TensorFlow Part 3 Scaling Up/4. Creating a data augmentation layer to use with our model.mp4 40.56 MB
8. Transfer Learning with TensorFlow Part 3 Scaling Up/5. Creating a headless EfficientNetB0 model with data augmentation built in.mp4 80.41 MB
8. Transfer Learning with TensorFlow Part 3 Scaling Up/6. Fitting and evaluating our biggest transfer learning model yet.mp4 70.15 MB
8. Transfer Learning with TensorFlow Part 3 Scaling Up/7. Unfreezing some layers in our base model to prepare for fine-tuning.mp4 100.07 MB
8. Transfer Learning with TensorFlow Part 3 Scaling Up/8. Fine-tuning our feature extraction model and evaluating its performance.mp4 66.23 MB
8. Transfer Learning with TensorFlow Part 3 Scaling Up/9. Saving and loading our trained model.mp4 57.41 MB
9. Milestone Project 1 Food Vision Big™/1. Introduction to Milestone Project 1 Food Vision Big™.mp4 42.32 MB
9. Milestone Project 1 Food Vision Big™/10. Turning on mixed precision training with TensorFlow.mp4 107.71 MB
9. Milestone Project 1 Food Vision Big™/11. Creating a feature extraction model capable of using mixed precision training.mp4 107.92 MB
9. Milestone Project 1 Food Vision Big™/12. Checking to see if our model is using mixed precision training layer by layer.mp4 87.67 MB
9. Milestone Project 1 Food Vision Big™/13. Training and evaluating a feature extraction model (Food Vision Big™).mp4 89.02 MB
9. Milestone Project 1 Food Vision Big™/14. Introducing your Milestone Project 1 challenge build a model to beat DeepFood.mp4 89.12 MB
9. Milestone Project 1 Food Vision Big™/2. Making sure we have access to the right GPU for mixed precision training.mp4 88.15 MB
9. Milestone Project 1 Food Vision Big™/3. Getting helper functions ready.mp4 31.09 MB
9. Milestone Project 1 Food Vision Big™/4. Introduction to TensorFlow Datasets (TFDS).mp4 116.84 MB
9. Milestone Project 1 Food Vision Big™/5. Exploring and becoming one with the data (Food101 from TensorFlow Datasets).mp4 116.71 MB
9. Milestone Project 1 Food Vision Big™/6. Creating a preprocessing function to prepare our data for modelling.mp4 132.19 MB
9. Milestone Project 1 Food Vision Big™/7. Batching and preparing our datasets (to make them run fast).mp4 132.24 MB
9. Milestone Project 1 Food Vision Big™/8. Exploring what happens when we batch and prefetch our data.mp4 63.82 MB
9. Milestone Project 1 Food Vision Big™/9. Creating modelling callbacks for our feature extraction model.mp4 60.79 MB
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