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[FreeCourseSite.com] Udemy - Complete 2022 Data Science & Machine Learning Bootcamp
magnet:?xt=urn:btih:6c07de4db88f94a690998017789362b5165a8802&dn=[FreeCourseSite.com] Udemy - Complete 2022 Data Science & Machine Learning Bootcamp
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Hash值:
6c07de4db88f94a690998017789362b5165a8802
点击数:
94
文件大小:
12.43 GB
文件数量:
176
创建日期:
2023-5-19 17:03
最后访问:
2024-7-26 05:43
访问标签:
FreeCourseSite
com
Udemy
-
Complete
2022
Data
Science
&
Machine
Learning
Bootcamp
文件列表详情
01 - Introduction to the Course/001 What is Machine Learning.mp4 40.37 MB
01 - Introduction to the Course/002 What is Data Science.mp4 39.83 MB
02 - Predict Movie Box Office Revenue with Linear Regression/001 Introduction to Linear Regression & Specifying the Problem.mp4 26.51 MB
02 - Predict Movie Box Office Revenue with Linear Regression/002 Gather & Clean the Data.mp4 40.86 MB
02 - Predict Movie Box Office Revenue with Linear Regression/003 Explore & Visualise the Data with Python.mp4 105.12 MB
02 - Predict Movie Box Office Revenue with Linear Regression/004 The Intuition behind the Linear Regression Model.mp4 12.86 MB
02 - Predict Movie Box Office Revenue with Linear Regression/005 Analyse and Evaluate the Results.mp4 75.46 MB
03 - Python Programming for Data Science and Machine Learning/001 Windows Users - Install Anaconda.mp4 32.19 MB
03 - Python Programming for Data Science and Machine Learning/002 Mac Users - Install Anaconda.mp4 39.12 MB
03 - Python Programming for Data Science and Machine Learning/003 Does LSD Make You Better at Maths.mp4 15.63 MB
03 - Python Programming for Data Science and Machine Learning/005 [Python] - Variables and Types.mp4 47.55 MB
03 - Python Programming for Data Science and Machine Learning/006 [Python] - Lists and Arrays.mp4 35.09 MB
03 - Python Programming for Data Science and Machine Learning/007 [Python & Pandas] - Dataframes and Series.mp4 101.4 MB
03 - Python Programming for Data Science and Machine Learning/008 [Python] - Module Imports.mp4 186.86 MB
03 - Python Programming for Data Science and Machine Learning/009 [Python] - Functions - Part 1 Defining and Calling Functions.mp4 27.38 MB
03 - Python Programming for Data Science and Machine Learning/010 [Python] - Functions - Part 2 Arguments & Parameters.mp4 99.44 MB
03 - Python Programming for Data Science and Machine Learning/011 [Python] - Functions - Part 3 Results & Return Values.mp4 54.13 MB
03 - Python Programming for Data Science and Machine Learning/012 [Python] - Objects - Understanding Attributes and Methods.mp4 125.35 MB
03 - Python Programming for Data Science and Machine Learning/013 How to Make Sense of Python Documentation for Data Visualisation.mp4 138.12 MB
03 - Python Programming for Data Science and Machine Learning/014 Working with Python Objects to Analyse Data.mp4 135.45 MB
03 - Python Programming for Data Science and Machine Learning/015 [Python] - Tips, Code Style and Naming Conventions.mp4 67.18 MB
04 - Introduction to Optimisation and the Gradient Descent Algorithm/001 What's Coming Up.mp4 12.92 MB
04 - Introduction to Optimisation and the Gradient Descent Algorithm/002 How a Machine Learns.mp4 10.47 MB
04 - Introduction to Optimisation and the Gradient Descent Algorithm/003 Introduction to Cost Functions.mp4 39.02 MB
04 - Introduction to Optimisation and the Gradient Descent Algorithm/004 LaTeX Markdown and Generating Data with Numpy.mp4 47.01 MB
04 - Introduction to Optimisation and the Gradient Descent Algorithm/005 Understanding the Power Rule & Creating Charts with Subplots.mp4 59.49 MB
04 - Introduction to Optimisation and the Gradient Descent Algorithm/006 [Python] - Loops and the Gradient Descent Algorithm.mp4 92.92 MB
04 - Introduction to Optimisation and the Gradient Descent Algorithm/007 [Python] - Advanced Functions and the Pitfalls of Optimisation (Part 1).mp4 229.5 MB
04 - Introduction to Optimisation and the Gradient Descent Algorithm/008 [Python] - Tuples and the Pitfalls of Optimisation (Part 2).mp4 145.22 MB
04 - Introduction to Optimisation and the Gradient Descent Algorithm/009 Understanding the Learning Rate.mp4 190.14 MB
04 - Introduction to Optimisation and the Gradient Descent Algorithm/010 How to Create 3-Dimensional Charts.mp4 152.02 MB
04 - Introduction to Optimisation and the Gradient Descent Algorithm/011 Understanding Partial Derivatives and How to use SymPy.mp4 102.67 MB
04 - Introduction to Optimisation and the Gradient Descent Algorithm/012 Implementing Batch Gradient Descent with SymPy.mp4 65.49 MB
04 - Introduction to Optimisation and the Gradient Descent Algorithm/013 [Python] - Loops and Performance Considerations.mp4 106.59 MB
04 - Introduction to Optimisation and the Gradient Descent Algorithm/014 Reshaping and Slicing N-Dimensional Arrays.mp4 95.11 MB
04 - Introduction to Optimisation and the Gradient Descent Algorithm/015 Concatenating Numpy Arrays.mp4 32.48 MB
04 - Introduction to Optimisation and the Gradient Descent Algorithm/016 Introduction to the Mean Squared Error (MSE).mp4 43.24 MB
04 - Introduction to Optimisation and the Gradient Descent Algorithm/017 Transposing and Reshaping Arrays.mp4 58.02 MB
04 - Introduction to Optimisation and the Gradient Descent Algorithm/018 Implementing a MSE Cost Function.mp4 54.55 MB
04 - Introduction to Optimisation and the Gradient Descent Algorithm/019 Understanding Nested Loops and Plotting the MSE Function (Part 1).mp4 48.88 MB
04 - Introduction to Optimisation and the Gradient Descent Algorithm/020 Plotting the Mean Squared Error (MSE) on a Surface (Part 2).mp4 96.91 MB
04 - Introduction to Optimisation and the Gradient Descent Algorithm/021 Running Gradient Descent with a MSE Cost Function.mp4 74.32 MB
04 - Introduction to Optimisation and the Gradient Descent Algorithm/022 Visualising the Optimisation on a 3D Surface.mp4 35.61 MB
05 - Predict House Prices with Multivariable Linear Regression/001 Defining the Problem.mp4 30.02 MB
05 - Predict House Prices with Multivariable Linear Regression/002 Gathering the Boston House Price Data.mp4 47.58 MB
05 - Predict House Prices with Multivariable Linear Regression/003 Clean and Explore the Data (Part 1) Understand the Nature of the Dataset.mp4 56.73 MB
05 - Predict House Prices with Multivariable Linear Regression/004 Clean and Explore the Data (Part 2) Find Missing Values.mp4 107.48 MB
05 - Predict House Prices with Multivariable Linear Regression/005 Visualising Data (Part 1) Historams, Distributions & Outliers.mp4 42.62 MB
05 - Predict House Prices with Multivariable Linear Regression/006 Visualising Data (Part 2) Seaborn and Probability Density Functions.mp4 37.6 MB
05 - Predict House Prices with Multivariable Linear Regression/007 Working with Index Data, Pandas Series, and Dummy Variables.mp4 103.76 MB
05 - Predict House Prices with Multivariable Linear Regression/008 Understanding Descriptive Statistics the Mean vs the Median.mp4 41.03 MB
05 - Predict House Prices with Multivariable Linear Regression/009 Introduction to Correlation Understanding Strength & Direction.mp4 12.92 MB
05 - Predict House Prices with Multivariable Linear Regression/010 Calculating Correlations and the Problem posed by Multicollinearity.mp4 82.51 MB
05 - Predict House Prices with Multivariable Linear Regression/011 Visualising Correlations with a Heatmap.mp4 108.43 MB
05 - Predict House Prices with Multivariable Linear Regression/012 Techniques to Style Scatter Plots.mp4 83.87 MB
05 - Predict House Prices with Multivariable Linear Regression/014 Working with Seaborn Pairplots & Jupyter Microbenchmarking Techniques.mp4 175.24 MB
05 - Predict House Prices with Multivariable Linear Regression/015 Understanding Multivariable Regression.mp4 31.51 MB
05 - Predict House Prices with Multivariable Linear Regression/016 How to Shuffle and Split Training & Testing Data.mp4 45.09 MB
05 - Predict House Prices with Multivariable Linear Regression/017 Running a Multivariable Regression.mp4 40.2 MB
05 - Predict House Prices with Multivariable Linear Regression/018 How to Calculate the Model Fit with R-Squared.mp4 21.48 MB
05 - Predict House Prices with Multivariable Linear Regression/019 Introduction to Model Evaluation.mp4 7.34 MB
05 - Predict House Prices with Multivariable Linear Regression/020 Improving the Model by Transforming the Data.mp4 81.41 MB
05 - Predict House Prices with Multivariable Linear Regression/021 How to Interpret Coefficients using p-Values and Statistical Significance.mp4 49.02 MB
05 - Predict House Prices with Multivariable Linear Regression/022 Understanding VIF & Testing for Multicollinearity.mp4 105.42 MB
05 - Predict House Prices with Multivariable Linear Regression/023 Model Simplification & Baysian Information Criterion.mp4 119.72 MB
05 - Predict House Prices with Multivariable Linear Regression/024 How to Analyse and Plot Regression Residuals.mp4 28.05 MB
05 - Predict House Prices with Multivariable Linear Regression/025 Residual Analysis (Part 1) Predicted vs Actual Values.mp4 81.48 MB
05 - Predict House Prices with Multivariable Linear Regression/026 Residual Analysis (Part 2) Graphing and Comparing Regression Residuals.mp4 99.19 MB
05 - Predict House Prices with Multivariable Linear Regression/027 Making Predictions (Part 1) MSE & R-Squared.mp4 126.58 MB
05 - Predict House Prices with Multivariable Linear Regression/028 Making Predictions (Part 2) Standard Deviation, RMSE, and Prediction Intervals.mp4 63.72 MB
05 - Predict House Prices with Multivariable Linear Regression/029 Build a Valuation Tool (Part 1) Working with Pandas Series & Numpy ndarrays.mp4 102.57 MB
05 - Predict House Prices with Multivariable Linear Regression/030 [Python] - Conditional Statements - Build a Valuation Tool (Part 2).mp4 90.12 MB
05 - Predict House Prices with Multivariable Linear Regression/031 Build a Valuation Tool (Part 3) Docstrings & Creating your own Python Module.mp4 200.93 MB
06 - Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/001 How to Translate a Business Problem into a Machine Learning Problem.mp4 31.01 MB
06 - Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/002 Gathering Email Data and Working with Archives & Text Editors.mp4 95.99 MB
06 - Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/003 How to Add the Lesson Resources to the Project.mp4 18.95 MB
06 - Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/004 The Naive Bayes Algorithm and the Decision Boundary for a Classifier.mp4 29.41 MB
06 - Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/005 Basic Probability.mp4 9.4 MB
06 - Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/006 Joint & Conditional Probability.mp4 88.31 MB
06 - Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/007 Bayes Theorem.mp4 51.07 MB
06 - Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/008 Reading Files (Part 1) Absolute Paths and Relative Paths.mp4 39.54 MB
06 - Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/009 Reading Files (Part 2) Stream Objects and Email Structure.mp4 87.76 MB
06 - Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/010 Extracting the Text in the Email Body.mp4 30.49 MB
06 - Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/011 [Python] - Generator Functions & the yield Keyword.mp4 104.22 MB
06 - Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/012 Create a Pandas DataFrame of Email Bodies.mp4 37.37 MB
06 - Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/013 Cleaning Data (Part 1) Check for Empty Emails & Null Entries.mp4 90.33 MB
06 - Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/014 Cleaning Data (Part 2) Working with a DataFrame Index.mp4 46.5 MB
06 - Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/015 Saving a JSON File with Pandas.mp4 43.41 MB
06 - Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/016 Data Visualisation (Part 1) Pie Charts.mp4 70.09 MB
06 - Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/017 Data Visualisation (Part 2) Donut Charts.mp4 40.95 MB
06 - Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/018 Introduction to Natural Language Processing (NLP).mp4 37.45 MB
06 - Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/019 Tokenizing, Removing Stop Words and the Python Set Data Structure.mp4 92.53 MB
06 - Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/020 Word Stemming & Removing Punctuation.mp4 46.64 MB
06 - Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/021 Removing HTML tags with BeautifulSoup.mp4 86.57 MB
06 - Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/022 Creating a Function for Text Processing.mp4 26.36 MB
06 - Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/024 Advanced Subsetting on DataFrames the apply() Function.mp4 55.26 MB
06 - Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/025 [Python] - Logical Operators to Create Subsets and Indices.mp4 57.42 MB
06 - Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/026 Word Clouds & How to install Additional Python Packages.mp4 50.04 MB
06 - Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/027 Creating your First Word Cloud.mp4 45.54 MB
06 - Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/028 Styling the Word Cloud with a Mask.mp4 105.94 MB
06 - Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/029 Solving the Hamlet Challenge.mp4 46.79 MB
06 - Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/030 Styling Word Clouds with Custom Fonts.mp4 99.44 MB
06 - Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/031 Create the Vocabulary for the Spam Classifier.mp4 70.09 MB
06 - Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/032 Coding Challenge Check for Membership in a Collection.mp4 14.85 MB
06 - Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/033 Coding Challenge Find the Longest Email.mp4 41.1 MB
06 - Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/034 Sparse Matrix (Part 1) Split the Training and Testing Data.mp4 58.08 MB
06 - Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/035 Sparse Matrix (Part 2) Data Munging with Nested Loops.mp4 91.56 MB
06 - Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/036 Sparse Matrix (Part 3) Using groupby() and Saving .txt Files.mp4 61.3 MB
06 - Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/037 Coding Challenge Solution Preparing the Test Data.mp4 18.88 MB
06 - Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/038 Checkpoint Understanding the Data.mp4 74.56 MB
07 - Train a Naive Bayes Classifier to Create a Spam Filter Part 2/001 Setting up the Notebook and Understanding Delimiters in a Dataset.mp4 53.98 MB
07 - Train a Naive Bayes Classifier to Create a Spam Filter Part 2/002 Create a Full Matrix.mp4 104.85 MB
07 - Train a Naive Bayes Classifier to Create a Spam Filter Part 2/003 Count the Tokens to Train the Naive Bayes Model.mp4 63.64 MB
07 - Train a Naive Bayes Classifier to Create a Spam Filter Part 2/004 Sum the Tokens across the Spam and Ham Subsets.mp4 24.37 MB
07 - Train a Naive Bayes Classifier to Create a Spam Filter Part 2/005 Calculate the Token Probabilities and Save the Trained Model.mp4 35.29 MB
07 - Train a Naive Bayes Classifier to Create a Spam Filter Part 2/006 Coding Challenge Prepare the Test Data.mp4 28.62 MB
08 - Test and Evaluate a Naive Bayes Classifier Part 3/001 Set up the Testing Notebook.mp4 19.97 MB
08 - Test and Evaluate a Naive Bayes Classifier Part 3/002 Joint Conditional Probability (Part 1) Dot Product.mp4 47.03 MB
08 - Test and Evaluate a Naive Bayes Classifier Part 3/003 Joint Conditional Probablity (Part 2) Priors.mp4 45.8 MB
08 - Test and Evaluate a Naive Bayes Classifier Part 3/004 Making Predictions Comparing Joint Probabilities.mp4 37.12 MB
08 - Test and Evaluate a Naive Bayes Classifier Part 3/005 The Accuracy Metric.mp4 28.66 MB
08 - Test and Evaluate a Naive Bayes Classifier Part 3/006 Visualising the Decision Boundary.mp4 149.45 MB
08 - Test and Evaluate a Naive Bayes Classifier Part 3/007 False Positive vs False Negatives.mp4 41.39 MB
08 - Test and Evaluate a Naive Bayes Classifier Part 3/008 The Recall Metric.mp4 18.41 MB
08 - Test and Evaluate a Naive Bayes Classifier Part 3/009 The Precision Metric.mp4 34.47 MB
08 - Test and Evaluate a Naive Bayes Classifier Part 3/010 The F-score or F1 Metric.mp4 16.46 MB
08 - Test and Evaluate a Naive Bayes Classifier Part 3/011 A Naive Bayes Implementation using SciKit Learn.mp4 145.69 MB
09 - Introduction to Neural Networks and How to Use Pre-Trained Models/001 The Human Brain and the Inspiration for Artificial Neural Networks.mp4 32.71 MB
09 - Introduction to Neural Networks and How to Use Pre-Trained Models/002 Layers, Feature Generation and Learning.mp4 124.35 MB
09 - Introduction to Neural Networks and How to Use Pre-Trained Models/003 Costs and Disadvantages of Neural Networks.mp4 76.56 MB
09 - Introduction to Neural Networks and How to Use Pre-Trained Models/004 Preprocessing Image Data and How RGB Works.mp4 69.24 MB
09 - Introduction to Neural Networks and How to Use Pre-Trained Models/005 Importing Keras Models and the Tensorflow Graph.mp4 49.24 MB
09 - Introduction to Neural Networks and How to Use Pre-Trained Models/006 Making Predictions using InceptionResNet.mp4 103.2 MB
09 - Introduction to Neural Networks and How to Use Pre-Trained Models/007 Coding Challenge Solution Using other Keras Models.mp4 81.98 MB
10 - Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/001 Solving a Business Problem with Image Classification.mp4 19.47 MB
10 - Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/002 Installing Tensorflow and Keras for Jupyter.mp4 31.92 MB
10 - Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/003 Gathering the CIFAR 10 Dataset.mp4 20.6 MB
10 - Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/004 Exploring the CIFAR Data.mp4 81.16 MB
10 - Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/005 Pre-processing Scaling Inputs and Creating a Validation Dataset.mp4 61.32 MB
10 - Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/006 Compiling a Keras Model and Understanding the Cross Entropy Loss Function.mp4 76.04 MB
10 - Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/007 Interacting with the Operating System and the Python Try-Catch Block.mp4 45.79 MB
10 - Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/008 Fit a Keras Model and Use Tensorboard to Visualise Learning and Spot Problems.mp4 76.55 MB
10 - Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/009 Use Regularisation to Prevent Overfitting Early Stopping & Dropout Techniques.mp4 152.54 MB
10 - Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/010 Use the Model to Make Predictions.mp4 173.85 MB
10 - Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/011 Model Evaluation and the Confusion Matrix.mp4 40.05 MB
10 - Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/012 Model Evaluation and the Confusion Matrix.mp4 193.26 MB
11 - Use Tensorflow to Classify Handwritten Digits/001 What's coming up.mp4 5.23 MB
11 - Use Tensorflow to Classify Handwritten Digits/002 Getting the Data and Loading it into Numpy Arrays.mp4 39.66 MB
11 - Use Tensorflow to Classify Handwritten Digits/003 Data Exploration and Understanding the Structure of the Input Data.mp4 20.6 MB
11 - Use Tensorflow to Classify Handwritten Digits/004 Data Preprocessing One-Hot Encoding and Creating the Validation Dataset.mp4 49.34 MB
11 - Use Tensorflow to Classify Handwritten Digits/005 What is a Tensor.mp4 37.85 MB
11 - Use Tensorflow to Classify Handwritten Digits/006 Creating Tensors and Setting up the Neural Network Architecture.mp4 110.62 MB
11 - Use Tensorflow to Classify Handwritten Digits/007 Defining the Cross Entropy Loss Function, the Optimizer and the Metrics.mp4 49.63 MB
11 - Use Tensorflow to Classify Handwritten Digits/008 TensorFlow Sessions and Batching Data.mp4 73.63 MB
11 - Use Tensorflow to Classify Handwritten Digits/009 Tensorboard Summaries and the Filewriter.mp4 98.73 MB
11 - Use Tensorflow to Classify Handwritten Digits/010 Understanding the Tensorflow Graph Nodes and Edges.mp4 89.48 MB
11 - Use Tensorflow to Classify Handwritten Digits/011 Name Scoping and Image Visualisation in Tensorboard.mp4 66.81 MB
11 - Use Tensorflow to Classify Handwritten Digits/012 Different Model Architectures Experimenting with Dropout.mp4 173.82 MB
11 - Use Tensorflow to Classify Handwritten Digits/013 Prediction and Model Evaluation.mp4 87.34 MB
12 - Serving a Tensorflow Model through a Website/001 What you'll make.mp4 35.52 MB
12 - Serving a Tensorflow Model through a Website/002 Saving Tensorflow Models.mp4 103.67 MB
12 - Serving a Tensorflow Model through a Website/003 Loading a SavedModel.mp4 85.1 MB
12 - Serving a Tensorflow Model through a Website/004 Converting a Model to Tensorflow.js.mp4 93.61 MB
12 - Serving a Tensorflow Model through a Website/005 Introducing the Website Project and Tooling.mp4 68.79 MB
12 - Serving a Tensorflow Model through a Website/006 HTML and CSS Styling.mp4 136.76 MB
12 - Serving a Tensorflow Model through a Website/007 Loading a Tensorflow.js Model and Starting your own Server.mp4 175.41 MB
12 - Serving a Tensorflow Model through a Website/008 Adding a Favicon.mp4 24.34 MB
12 - Serving a Tensorflow Model through a Website/009 Styling an HTML Canvas.mp4 172.69 MB
12 - Serving a Tensorflow Model through a Website/010 Drawing on an HTML Canvas.mp4 159.28 MB
12 - Serving a Tensorflow Model through a Website/011 Data Pre-Processing for Tensorflow.js.mp4 25.56 MB
12 - Serving a Tensorflow Model through a Website/012 Introduction to OpenCV.mp4 133.24 MB
12 - Serving a Tensorflow Model through a Website/013 Resizing and Adding Padding to Images.mp4 147.83 MB
12 - Serving a Tensorflow Model through a Website/014 Calculating the Centre of Mass and Shifting the Image.mp4 210.44 MB
12 - Serving a Tensorflow Model through a Website/015 Making a Prediction from a Digit drawn on the HTML Canvas.mp4 98.46 MB
12 - Serving a Tensorflow Model through a Website/016 Adding the Game Logic.mp4 158.22 MB
12 - Serving a Tensorflow Model through a Website/017 Publish and Share your Website!.mp4 33.31 MB
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