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[08-2020] python-data-science-machine-learning-bootcamp
magnet:?xt=urn:btih:4c282ebf0c8f3a6ae9d82600eb0553989a797b2a&dn=[08-2020] python-data-science-machine-learning-bootcamp
磁力链接详情
Hash值:
4c282ebf0c8f3a6ae9d82600eb0553989a797b2a
点击数:
146
文件大小:
23.14 GB
文件数量:
176
创建日期:
2021-12-27 07:12
最后访问:
2024-6-9 15:34
访问标签:
08-2020
python-data-science-machine-learning-bootcamp
文件列表详情
04 Introduction to Optimisation and the Gradient Descent Algorithm/036 [Python] - Loops and the Gradient Descent Algorithm.mp4 449.2 MB
01 Introduction to the Course/001 What is Machine Learning_.mp4 32.37 MB
01 Introduction to the Course/002 What is Data Science_.mp4 71.61 MB
02 Predict Movie Box Office Revenue with Linear Regression/006 Introduction to Linear Regression & Specifying the Problem.mp4 38.77 MB
02 Predict Movie Box Office Revenue with Linear Regression/007 Gather & Clean the Data.mp4 69.03 MB
02 Predict Movie Box Office Revenue with Linear Regression/008 Explore & Visualise the Data with Python.mp4 188.77 MB
02 Predict Movie Box Office Revenue with Linear Regression/009 The Intuition behind the Linear Regression Model.mp4 19.46 MB
02 Predict Movie Box Office Revenue with Linear Regression/010 Analyse and Evaluate the Results.mp4 142.22 MB
03 Python Programming for Data Science and Machine Learning/014 Windows Users - Install Anaconda.mp4 58.18 MB
03 Python Programming for Data Science and Machine Learning/015 Mac Users - Install Anaconda.mp4 81.31 MB
03 Python Programming for Data Science and Machine Learning/016 Does LSD Make You Better at Maths_.mp4 66.9 MB
03 Python Programming for Data Science and Machine Learning/018 [Python] - Variables and Types.mp4 84.28 MB
03 Python Programming for Data Science and Machine Learning/019 [Python] - Lists and Arrays.mp4 60.9 MB
03 Python Programming for Data Science and Machine Learning/020 [Python & Pandas] - Dataframes and Series.mp4 203.61 MB
03 Python Programming for Data Science and Machine Learning/021 [Python] - Module Imports.mp4 349.51 MB
03 Python Programming for Data Science and Machine Learning/022 [Python] - Functions - Part 1_ Defining and Calling Functions.mp4 46.99 MB
03 Python Programming for Data Science and Machine Learning/023 [Python] - Functions - Part 2_ Arguments & Parameters.mp4 189.68 MB
03 Python Programming for Data Science and Machine Learning/024 [Python] - Functions - Part 3_ Results & Return Values.mp4 94.36 MB
03 Python Programming for Data Science and Machine Learning/025 [Python] - Objects - Understanding Attributes and Methods.mp4 234.49 MB
03 Python Programming for Data Science and Machine Learning/026 How to Make Sense of Python Documentation for Data Visualisation.mp4 265.05 MB
03 Python Programming for Data Science and Machine Learning/027 Working with Python Objects to Analyse Data.mp4 258.83 MB
03 Python Programming for Data Science and Machine Learning/028 [Python] - Tips, Code Style and Naming Conventions.mp4 130.73 MB
04 Introduction to Optimisation and the Gradient Descent Algorithm/031 What's Coming Up_.mp4 24.59 MB
04 Introduction to Optimisation and the Gradient Descent Algorithm/032 How a Machine Learns.mp4 16.56 MB
04 Introduction to Optimisation and the Gradient Descent Algorithm/033 Introduction to Cost Functions.mp4 76.86 MB
04 Introduction to Optimisation and the Gradient Descent Algorithm/034 LaTeX Markdown and Generating Data with Numpy.mp4 77.24 MB
04 Introduction to Optimisation and the Gradient Descent Algorithm/035 Understanding the Power Rule & Creating Charts with Subplots.mp4 104.46 MB
04 Introduction to Optimisation and the Gradient Descent Algorithm/037 [Python] - Advanced Functions and the Pitfalls of Optimisation (Part 1).mp4 446.84 MB
04 Introduction to Optimisation and the Gradient Descent Algorithm/038 [Python] - Tuples and the Pitfalls of Optimisation (Part 2).mp4 302.32 MB
04 Introduction to Optimisation and the Gradient Descent Algorithm/039 Understanding the Learning Rate.mp4 280.53 MB
04 Introduction to Optimisation and the Gradient Descent Algorithm/040 How to Create 3-Dimensional Charts.mp4 294.27 MB
04 Introduction to Optimisation and the Gradient Descent Algorithm/041 Understanding Partial Derivatives and How to use SymPy.mp4 193.33 MB
04 Introduction to Optimisation and the Gradient Descent Algorithm/042 Implementing Batch Gradient Descent with SymPy.mp4 117.53 MB
04 Introduction to Optimisation and the Gradient Descent Algorithm/043 [Python] - Loops and Performance Considerations.mp4 205.61 MB
04 Introduction to Optimisation and the Gradient Descent Algorithm/044 Reshaping and Slicing N-Dimensional Arrays.mp4 168.28 MB
04 Introduction to Optimisation and the Gradient Descent Algorithm/045 Concatenating Numpy Arrays.mp4 85.15 MB
04 Introduction to Optimisation and the Gradient Descent Algorithm/046 Introduction to the Mean Squared Error (MSE).mp4 75.17 MB
04 Introduction to Optimisation and the Gradient Descent Algorithm/047 Transposing and Reshaping Arrays.mp4 101.68 MB
04 Introduction to Optimisation and the Gradient Descent Algorithm/048 Implementing a MSE Cost Function.mp4 97.47 MB
04 Introduction to Optimisation and the Gradient Descent Algorithm/049 Understanding Nested Loops and Plotting the MSE Function (Part 1).mp4 83.37 MB
04 Introduction to Optimisation and the Gradient Descent Algorithm/050 Plotting the Mean Squared Error (MSE) on a Surface (Part 2).mp4 68.86 MB
04 Introduction to Optimisation and the Gradient Descent Algorithm/051 Running Gradient Descent with a MSE Cost Function.mp4 129.83 MB
04 Introduction to Optimisation and the Gradient Descent Algorithm/052 Visualising the Optimisation on a 3D Surface.mp4 88.19 MB
05 Predict House Prices with Multivariable Linear Regression/055 Defining the Problem.mp4 57.82 MB
05 Predict House Prices with Multivariable Linear Regression/056 Gathering the Boston House Price Data.mp4 91.05 MB
05 Predict House Prices with Multivariable Linear Regression/057 Clean and Explore the Data (Part 1)_ Understand the Nature of the Dataset.mp4 99.37 MB
05 Predict House Prices with Multivariable Linear Regression/058 Clean and Explore the Data (Part 2)_ Find Missing Values.mp4 207.91 MB
05 Predict House Prices with Multivariable Linear Regression/059 Visualising Data (Part 1)_ Historams, Distributions & Outliers.mp4 71.94 MB
05 Predict House Prices with Multivariable Linear Regression/060 Visualising Data (Part 2)_ Seaborn and Probability Density Functions.mp4 66.18 MB
05 Predict House Prices with Multivariable Linear Regression/061 Working with Index Data, Pandas Series, and Dummy Variables.mp4 195.59 MB
05 Predict House Prices with Multivariable Linear Regression/062 Understanding Descriptive Statistics_ the Mean vs the Median.mp4 72.5 MB
05 Predict House Prices with Multivariable Linear Regression/063 Introduction to Correlation_ Understanding Strength & Direction.mp4 20.4 MB
05 Predict House Prices with Multivariable Linear Regression/064 Calculating Correlations and the Problem posed by Multicollinearity.mp4 154.88 MB
05 Predict House Prices with Multivariable Linear Regression/065 Visualising Correlations with a Heatmap.mp4 191.5 MB
05 Predict House Prices with Multivariable Linear Regression/066 Techniques to Style Scatter Plots.mp4 149.97 MB
05 Predict House Prices with Multivariable Linear Regression/068 Working with Seaborn Pairplots & Jupyter Microbenchmarking Techniques.mp4 334.45 MB
05 Predict House Prices with Multivariable Linear Regression/069 Understanding Multivariable Regression.mp4 61.6 MB
05 Predict House Prices with Multivariable Linear Regression/070 How to Shuffle and Split Training & Testing Data.mp4 83.32 MB
05 Predict House Prices with Multivariable Linear Regression/071 Running a Multivariable Regression.mp4 74.05 MB
05 Predict House Prices with Multivariable Linear Regression/072 How to Calculate the Model Fit with R-Squared.mp4 38.56 MB
05 Predict House Prices with Multivariable Linear Regression/073 Introduction to Model Evaluation.mp4 12.03 MB
05 Predict House Prices with Multivariable Linear Regression/074 Improving the Model by Transforming the Data.mp4 142.49 MB
05 Predict House Prices with Multivariable Linear Regression/075 How to Interpret Coefficients using p-Values and Statistical Significance.mp4 89.12 MB
05 Predict House Prices with Multivariable Linear Regression/076 Understanding VIF & Testing for Multicollinearity.mp4 164.6 MB
05 Predict House Prices with Multivariable Linear Regression/077 Model Simplification & Baysian Information Criterion.mp4 229.47 MB
05 Predict House Prices with Multivariable Linear Regression/078 How to Analyse and Plot Regression Residuals.mp4 46.63 MB
05 Predict House Prices with Multivariable Linear Regression/079 Residual Analysis (Part 1)_ Predicted vs Actual Values.mp4 146.46 MB
05 Predict House Prices with Multivariable Linear Regression/080 Residual Analysis (Part 2)_ Graphing and Comparing Regression Residuals.mp4 178.21 MB
05 Predict House Prices with Multivariable Linear Regression/081 Making Predictions (Part 1)_ MSE & R-Squared.mp4 217.8 MB
05 Predict House Prices with Multivariable Linear Regression/082 Making Predictions (Part 2)_ Standard Deviation, RMSE, and Prediction Intervals.mp4 116.49 MB
05 Predict House Prices with Multivariable Linear Regression/083 Build a Valuation Tool (Part 1)_ Working with Pandas Series & Numpy ndarrays.mp4 198.42 MB
05 Predict House Prices with Multivariable Linear Regression/084 [Python] - Conditional Statements - Build a Valuation Tool (Part 2).mp4 159.88 MB
05 Predict House Prices with Multivariable Linear Regression/085 Build a Valuation Tool (Part 3)_ Docstrings & Creating your own Python Module.mp4 167.92 MB
06 Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails_ Part 1/088 How to Translate a Business Problem into a Machine Learning Problem.mp4 57.44 MB
06 Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails_ Part 1/089 Gathering Email Data and Working with Archives & Text Editors.mp4 186.87 MB
06 Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails_ Part 1/090 How to Add the Lesson Resources to the Project.mp4 35.07 MB
06 Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails_ Part 1/091 The Naive Bayes Algorithm and the Decision Boundary for a Classifier.mp4 57.15 MB
06 Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails_ Part 1/092 Basic Probability.mp4 15.52 MB
06 Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails_ Part 1/093 Joint & Conditional Probability.mp4 169.32 MB
06 Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails_ Part 1/094 Bayes Theorem.mp4 94.54 MB
06 Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails_ Part 1/095 Reading Files (Part 1)_ Absolute Paths and Relative Paths.mp4 71.15 MB
06 Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails_ Part 1/096 Reading Files (Part 2)_ Stream Objects and Email Structure.mp4 167.33 MB
06 Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails_ Part 1/097 Extracting the Text in the Email Body.mp4 55.23 MB
06 Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails_ Part 1/098 [Python] - Generator Functions & the yield Keyword.mp4 197.71 MB
06 Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails_ Part 1/099 Create a Pandas DataFrame of Email Bodies.mp4 67.91 MB
06 Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails_ Part 1/100 Cleaning Data (Part 1)_ Check for Empty Emails & Null Entries.mp4 191.89 MB
06 Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails_ Part 1/101 Cleaning Data (Part 2)_ Working with a DataFrame Index.mp4 84.91 MB
06 Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails_ Part 1/102 Saving a JSON File with Pandas.mp4 81.28 MB
06 Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails_ Part 1/103 Data Visualisation (Part 1)_ Pie Charts.mp4 131.08 MB
06 Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails_ Part 1/104 Data Visualisation (Part 2)_ Donut Charts.mp4 73.4 MB
06 Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails_ Part 1/105 Introduction to Natural Language Processing (NLP).mp4 58.19 MB
06 Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails_ Part 1/106 Tokenizing, Removing Stop Words and the Python Set Data Structure.mp4 138.05 MB
06 Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails_ Part 1/107 Word Stemming & Removing Punctuation.mp4 83.68 MB
06 Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails_ Part 1/108 Removing HTML tags with BeautifulSoup.mp4 167.47 MB
06 Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails_ Part 1/109 Creating a Function for Text Processing.mp4 44.76 MB
06 Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails_ Part 1/111 Advanced Subsetting on DataFrames_ the apply() Function.mp4 97.91 MB
06 Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails_ Part 1/112 [Python] - Logical Operators to Create Subsets and Indices.mp4 101.3 MB
06 Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails_ Part 1/113 Word Clouds & How to install Additional Python Packages.mp4 92.38 MB
06 Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails_ Part 1/114 Creating your First Word Cloud.mp4 152.62 MB
06 Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails_ Part 1/115 Styling the Word Cloud with a Mask.mp4 184.63 MB
06 Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails_ Part 1/116 Solving the Hamlet Challenge.mp4 92.62 MB
06 Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails_ Part 1/117 Styling Word Clouds with Custom Fonts.mp4 184.2 MB
06 Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails_ Part 1/118 Create the Vocabulary for the Spam Classifier.mp4 124.04 MB
06 Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails_ Part 1/119 Coding Challenge_ Check for Membership in a Collection.mp4 19.91 MB
06 Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails_ Part 1/120 Coding Challenge_ Find the Longest Email.mp4 76.59 MB
06 Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails_ Part 1/121 Sparse Matrix (Part 1)_ Split the Training and Testing Data.mp4 119.49 MB
06 Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails_ Part 1/122 Sparse Matrix (Part 2)_ Data Munging with Nested Loops.mp4 160.46 MB
06 Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails_ Part 1/123 Sparse Matrix (Part 3)_ Using groupby() and Saving .txt Files.mp4 110.82 MB
06 Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails_ Part 1/124 Coding Challenge Solution_ Preparing the Test Data.mp4 37.54 MB
06 Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails_ Part 1/125 Checkpoint_ Understanding the Data.mp4 134.39 MB
07 Train a Naive Bayes Classifier to Create a Spam Filter_ Part 2/128 Setting up the Notebook and Understanding Delimiters in a Dataset.mp4 99.17 MB
07 Train a Naive Bayes Classifier to Create a Spam Filter_ Part 2/129 Create a Full Matrix.mp4 200.5 MB
07 Train a Naive Bayes Classifier to Create a Spam Filter_ Part 2/130 Count the Tokens to Train the Naive Bayes Model.mp4 111.37 MB
07 Train a Naive Bayes Classifier to Create a Spam Filter_ Part 2/131 Sum the Tokens across the Spam and Ham Subsets.mp4 39.64 MB
07 Train a Naive Bayes Classifier to Create a Spam Filter_ Part 2/132 Calculate the Token Probabilities and Save the Trained Model.mp4 70.53 MB
07 Train a Naive Bayes Classifier to Create a Spam Filter_ Part 2/133 Coding Challenge_ Prepare the Test Data.mp4 53.69 MB
08 Test and Evaluate a Naive Bayes Classifier_ Part 3/136 Set up the Testing Notebook.mp4 36.94 MB
08 Test and Evaluate a Naive Bayes Classifier_ Part 3/137 Joint Conditional Probability (Part 1)_ Dot Product.mp4 84.72 MB
08 Test and Evaluate a Naive Bayes Classifier_ Part 3/138 Joint Conditional Probablity (Part 2)_ Priors.mp4 90.7 MB
08 Test and Evaluate a Naive Bayes Classifier_ Part 3/139 Making Predictions_ Comparing Joint Probabilities.mp4 68.14 MB
08 Test and Evaluate a Naive Bayes Classifier_ Part 3/140 The Accuracy Metric.mp4 46.42 MB
08 Test and Evaluate a Naive Bayes Classifier_ Part 3/141 Visualising the Decision Boundary.mp4 277.29 MB
08 Test and Evaluate a Naive Bayes Classifier_ Part 3/142 False Positive vs False Negatives.mp4 71.62 MB
08 Test and Evaluate a Naive Bayes Classifier_ Part 3/143 The Recall Metric.mp4 31.99 MB
08 Test and Evaluate a Naive Bayes Classifier_ Part 3/144 The Precision Metric.mp4 61.48 MB
08 Test and Evaluate a Naive Bayes Classifier_ Part 3/145 The F-score or F1 Metric.mp4 28.68 MB
08 Test and Evaluate a Naive Bayes Classifier_ Part 3/146 A Naive Bayes Implementation using SciKit Learn.mp4 270.52 MB
09 Introduction to Neural Networks and How to Use Pre-Trained Models/149 The Human Brain and the Inspiration for Artificial Neural Networks.mp4 60.54 MB
09 Introduction to Neural Networks and How to Use Pre-Trained Models/150 Layers, Feature Generation and Learning.mp4 237.2 MB
09 Introduction to Neural Networks and How to Use Pre-Trained Models/151 Costs and Disadvantages of Neural Networks.mp4 145.87 MB
09 Introduction to Neural Networks and How to Use Pre-Trained Models/152 Preprocessing Image Data and How RGB Works.mp4 129.57 MB
09 Introduction to Neural Networks and How to Use Pre-Trained Models/153 Importing Keras Models and the Tensorflow Graph.mp4 73.36 MB
09 Introduction to Neural Networks and How to Use Pre-Trained Models/154 Making Predictions using InceptionResNet.mp4 181.21 MB
09 Introduction to Neural Networks and How to Use Pre-Trained Models/155 Coding Challenge Solution_ Using other Keras Models.mp4 154.95 MB
10 Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/158 Solving a Business Problem with Image Classification.mp4 37.55 MB
10 Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/159 Installing Tensorflow and Keras for Jupyter.mp4 58.44 MB
10 Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/160 Gathering the CIFAR 10 Dataset.mp4 35.34 MB
10 Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/161 Exploring the CIFAR Data.mp4 151.05 MB
10 Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/162 Pre-processing_ Scaling Inputs and Creating a Validation Dataset.mp4 103.65 MB
10 Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/163 Compiling a Keras Model and Understanding the Cross Entropy Loss Function.mp4 139.62 MB
10 Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/164 Interacting with the Operating System and the Python Try-Catch Block.mp4 193.73 MB
10 Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/165 Fit a Keras Model and Use Tensorboard to Visualise Learning and Spot Problems.mp4 145.59 MB
10 Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/166 Use Regularisation to Prevent Overfitting_ Early Stopping & Dropout Techniques.mp4 287.09 MB
10 Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/167 Use the Model to Make Predictions.mp4 300.05 MB
10 Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/168 Model Evaluation and the Confusion Matrix.mp4 81.83 MB
10 Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/169 Model Evaluation and the Confusion Matrix.mp4 366.42 MB
11 Use Tensorflow to Classify Handwritten Digits/172 What's coming up_.mp4 7.62 MB
11 Use Tensorflow to Classify Handwritten Digits/173 Getting the Data and Loading it into Numpy Arrays.mp4 75.07 MB
11 Use Tensorflow to Classify Handwritten Digits/174 Data Exploration and Understanding the Structure of the Input Data.mp4 35.65 MB
11 Use Tensorflow to Classify Handwritten Digits/175 Data Preprocessing_ One-Hot Encoding and Creating the Validation Dataset.mp4 88.53 MB
11 Use Tensorflow to Classify Handwritten Digits/176 What is a Tensor_.mp4 69.7 MB
11 Use Tensorflow to Classify Handwritten Digits/177 Creating Tensors and Setting up the Neural Network Architecture.mp4 205.12 MB
11 Use Tensorflow to Classify Handwritten Digits/178 Defining the Cross Entropy Loss Function, the Optimizer and the Metrics.mp4 84.85 MB
11 Use Tensorflow to Classify Handwritten Digits/179 TensorFlow Sessions and Batching Data.mp4 128.85 MB
11 Use Tensorflow to Classify Handwritten Digits/180 Tensorboard Summaries and the Filewriter.mp4 186.5 MB
11 Use Tensorflow to Classify Handwritten Digits/181 Understanding the Tensorflow Graph_ Nodes and Edges.mp4 167.36 MB
11 Use Tensorflow to Classify Handwritten Digits/182 Name Scoping and Image Visualisation in Tensorboard.mp4 88.68 MB
11 Use Tensorflow to Classify Handwritten Digits/183 Different Model Architectures_ Experimenting with Dropout.mp4 335.83 MB
11 Use Tensorflow to Classify Handwritten Digits/184 Prediction and Model Evaluation.mp4 162.28 MB
12 Serving a Tensorflow Model through a Website/187 What you'll make.mp4 64.36 MB
12 Serving a Tensorflow Model through a Website/188 Saving Tensorflow Models.mp4 191.76 MB
12 Serving a Tensorflow Model through a Website/189 Loading a SavedModel.mp4 144.86 MB
12 Serving a Tensorflow Model through a Website/190 Converting a Model to Tensorflow.js.mp4 171.61 MB
12 Serving a Tensorflow Model through a Website/191 Introducing the Website Project and Tooling.mp4 125.38 MB
12 Serving a Tensorflow Model through a Website/192 HTML and CSS Styling.mp4 244.58 MB
12 Serving a Tensorflow Model through a Website/193 Loading a Tensorflow.js Model and Starting your own Server.mp4 321.34 MB
12 Serving a Tensorflow Model through a Website/194 Adding a Favicon.mp4 42.12 MB
12 Serving a Tensorflow Model through a Website/195 Styling an HTML Canvas.mp4 312.41 MB
12 Serving a Tensorflow Model through a Website/196 Drawing on an HTML Canvas.mp4 290.97 MB
12 Serving a Tensorflow Model through a Website/197 Data Pre-Processing for Tensorflow.js.mp4 42.36 MB
12 Serving a Tensorflow Model through a Website/198 Introduction to OpenCV.mp4 432.34 MB
12 Serving a Tensorflow Model through a Website/199 Resizing and Adding Padding to Images.mp4 286.25 MB
12 Serving a Tensorflow Model through a Website/200 Calculating the Centre of Mass and Shifting the Image.mp4 405.91 MB
12 Serving a Tensorflow Model through a Website/201 Making a Prediction from a Digit drawn on the HTML Canvas.mp4 181.8 MB
12 Serving a Tensorflow Model through a Website/202 Adding the Game Logic.mp4 286 MB
12 Serving a Tensorflow Model through a Website/203 Publish and Share your Website!.mp4 59.48 MB
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