download скачать Free download скачать : Pluralsight - Building Machine Learning Solutions with TensorFlow 2 0
mp4 | Video: h264,1280X720 | Audio: AAC, 44.1 KHz
Genre:eLearning | Language: English | Size:1.3 GB

Files Included :

1  Course Overview.mp4 (4.25 MB)
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1  Version Check.mp4 (509.81 KB)
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2  Prerequisites and Course Outline.mp4 (3.86 MB)
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3  TensorFlow 1 x vs  TensorFlow 2 0.mp4 (12.38 MB)
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4  Introducing Neural Networks.mp4 (7.77 MB)
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5  Neurons and Activation Functions.mp4 (14.24 MB)
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6  Demo - Install and Set up TensorFlow.mp4 (9.41 MB)
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7  Demo - Tensors and Tensor Operations.mp4 (13.85 MB)
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8  Demo - Variables.mp4 (11.08 MB)
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9  TensorFlow and Keras.mp4 (3.44 MB)
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1  The Computation Graph.mp4 (5.81 MB)
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2  Static and Dynamic Computation Graphs.mp4 (13.29 MB)
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4  Demo - TensorBoard to Visualize Graphs.mp4 (4.83 MB)
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5  Demo - Eager Execution.mp4 (7.92 MB)
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6  tf function.mp4 (14.13 MB)
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7  Demo - Running in Graph Mode Using @tf function.mp4 (11.46 MB)
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8  Demo - Statements with Python Side Effects in Graph Mode.mp4 (9.73 MB)
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9  Demo - Instantiating Variables in Graph Mode.mp4 (10.42 MB)
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1  Gradient Descent.mp4 (9.89 MB)
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2  Forward and Backward Passes.mp4 (5.25 MB)
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3  Calculating Gradients Using Gradient Tape.mp4 (9.21 MB)
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4  Reverse Mode Automatic Differentiation.mp4 (7.28 MB)
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5  Demo - Gradient Tape for Gradient Calculations.mp4 (8.29 MB)
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6  Demo - Understanding Gradient Tape Operations.mp4 (10.42 MB)
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7  Demo - Simple Regression Using Gradient Calculation.mp4 (19.49 MB)
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8  Demo - Simple Regression with a Sequential Model.mp4 (7.82 MB)
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1  Introducing the Sequential API in Keras.mp4 (9.83 MB)
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2  Demo - Exploring and Processing the Life Expectancy Dataset.mp4 (20.06 MB)
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3  Demo - Building and Training a Sequential Model.mp4 (11.5 MB)
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4  Demo - TensorBoard to Visualize the Training Process.mp4 (17.7 MB)
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5  Demo - Configuring Optimizers and Activation Functions.mp4 (12.01 MB)
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1  The Functional API and Model Subclassing.mp4 (8.09 MB)
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2  Demo - Exploring the Heart Disease Dataset.mp4 (10.97 MB)
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4  Demo - Exploring and Processing the Wine Dataset.mp4 (9.86 MB)
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6  Summary and Further Study.mp4 (2.21 MB)
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1  Course Overview.mp4 (3.11 MB)
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1  Introduction.mp4 (3.21 MB)
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2  TensorFlow 2 0 Introduction.mp4 (4.79 MB)
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3  Migrating to TensorFlow 2 0.mp4 (3.62 MB)
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4  Data Pipeline and Model Training.mp4 (21.92 MB)
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5  Conclusion.mp4 (641.03 KB)
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1  Introduction.mp4 (4.03 MB)
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2  Load from CSV.mp4 (21.68 MB)
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3  Load from NumPy and pandas.mp4 (22.16 MB)
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4  TFExample.mp4 (20.95 MB)
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5  TFRecord.mp4 (15.41 MB)
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6  Load Image Data.mp4 (11.13 MB)
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7  Conclusion.mp4 (1.34 MB)
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1  Introduction.mp4 (3.21 MB)
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2  Feature Engineering with pandas.mp4 (29.2 MB)
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3  Using Zip and Map.mp4 (9.35 MB)
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4  Load Image Data.mp4 (20.45 MB)
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5  Image Data Augmentation.mp4 (23.21 MB)
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6  Conclusion.mp4 (1.06 MB)
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1  Introduction.mp4 (3.07 MB)
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2  Prep Data for Model Training.mp4 (14.11 MB)
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3  Use Keras Sequential API.mp4 (18.32 MB)
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4  Batching and Prefetching.mp4 (12.66 MB)
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5  Parallelizing Data Extraction.mp4 (9.75 MB)
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6  Conclusion.mp4 (1.29 MB)
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1  Course Overview.mp4 (5.45 MB)
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1  Introduction.mp4 (7.25 MB)
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2  Why TensorFlow js.mp4 (5.8 MB)
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3  TensorFlow js Performance.mp4 (3.89 MB)
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4  TensorFlow js Overview.mp4 (4.63 MB)
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5  Course Demo.mp4 (6.49 MB)
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6  Course Structure.mp4 (3.14 MB)
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1  Introduction.mp4 (2.02 MB)
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2  TensorFlow js in Browser Using Script Tag.mp4 (1.23 MB)
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4  TensorFlow js in Browser Using Package Managers.mp4 (4.1 MB)
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6  Demo - Exploring TensorFlow js Backends.mp4 (18.26 MB)
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7  Demo - Running TensorFlow js in Node js.mp4 (16.09 MB)
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8  Summary.mp4 (1.76 MB)
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1  Introduction.mp4 (2.6 MB)
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2  Tensor Overview.mp4 (5.39 MB)
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3  Demo - Working with Tensors.mp4 (6.36 MB)
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4  Basic Tensor Operations.mp4 (2.58 MB)
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5  Demo - Performing Basic Tensor Operations.mp4 (11.73 MB)
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6  Managing Memory with TensorFlow js.mp4 (4.39 MB)
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7  Demo - Managing Memory with TensorFlow js.mp4 (5.91 MB)
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8  Summary.mp4 (2.4 MB)
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1  Introduction.mp4 (2.27 MB)
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2  Machine Learning Workflow.mp4 (3 MB)
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3  Toxicity Detection Use Case.mp4 (6.42 MB)
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4  Working with TFJS Data.mp4 (3.57 MB)
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5  Async JS Programming.mp4 (9.07 MB)
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7  Working with TFVis.mp4 (2.4 MB)
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9  Summary.mp4 (2.44 MB)
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1  Introduction.mp4 (2.59 MB)
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2  Generating Features from Text.mp4 (10.45 MB)
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3  Demo - Generating TFIDF Features.mp4 (36.48 MB)
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4  Function Generator.mp4 (2.78 MB)
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6  Train Validation Test Split.mp4 (3.67 MB)
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8  Summary.mp4 (1.88 MB)
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01  Introduction.mp4 (2.76 MB)
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02  Neural Network Overview.mp4 (6.11 MB)
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09  Model Performance Metrics.mp4 (2.43 MB)
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12  Summary.mp4 (2.24 MB)
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1  Introduction.mp4 (1.52 MB)
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2  Model Export Options.mp4 (2.65 MB)
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3  Demo - Exporting Trained Model.mp4 (10.59 MB)
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4  Load Model.mp4 (1.75 MB)
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5  Demo - Loading Trained TensorFlow js Model.mp4 (3.68 MB)
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6  Summary.mp4 (1.81 MB)
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1  Introduction.mp4 (2.17 MB)
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2  Model Scoring.mp4 (2.94 MB)
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4  Materialize UI.mp4 (1.67 MB)
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5  Demo - Setting up Materialize UI.mp4 (12.93 MB)
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6  Demo - Integrate Steps with UI.mp4 (26.6 MB)
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7  TensorFlow js Converter.mp4 (2.46 MB)
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9  Summary.mp4 (2.54 MB)
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1  Introduction.mp4 (1.92 MB)
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2  Transfer Learning with TensorFlow js.mp4 (6.93 MB)
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5  Toxicity Detection Model.mp4 (5.87 MB)
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7  Summary.mp4 (1.65 MB)
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1  Taking Your Journey Forward.mp4 (20.56 MB)
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1  Course Overview.mp4 (3.98 MB)
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1  Version Check.mp4 (532.4 KB)
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2  Prerequisites and Course Outline.mp4 (4.3 MB)
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3  Introducing Keras.mp4 (5.33 MB)
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4  Supervised Learning.mp4 (7.86 MB)
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5  Unsupervised Learning.mp4 (10.15 MB)
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6  Sequential Models.mp4 (11.98 MB)
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7  The Functional API.mp4 (4.86 MB)
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8  Saving and Loading Models.mp4 (8.32 MB)
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9  Demo - Install and Set up Tensor Flow.mp4 (19.52 MB)
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5  Demo - Loading Saved Models.mp4 (9.16 MB)
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01  Drawbacks of Dense Neural Networks.mp4 (5.59 MB)
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02  Introducing Convolutional Neural Networks.mp4 (8.15 MB)
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03  Convolution.mp4 (7.4 MB)
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04  Convolutional Layers.mp4 (11.38 MB)
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05  Pooling Layers.mp4 (7.8 MB)
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06  CNN Architecture.mp4 (6.3 MB)
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09  Demo - Training and Prediction Using a CNN.mp4 (9.43 MB)
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10  Demo - Using Image Transformations and Dropout.mp4 (13.95 MB)
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1  Supervised vs  Unsupervised Learning.mp4 (2.49 MB)
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4  Demo - Preprocessing Images.mp4 (8.54 MB)
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01  Customizing Layers and Models.mp4 (2.12 MB)
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02  Model Subclassing and Custom Layers.mp4 (8.26 MB)
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03  Demo - Creating a Custom Layer.mp4 (15.47 MB)
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04  Demo - Deferring Weight Creation in a Layer.mp4 (5.72 MB)
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05  Demo - Accumulating Losses with Custom Layers.mp4 (15.56 MB)
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07  Demo - Building Custom Models.mp4 (9.95 MB)
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10  Summary and Further Study.mp4 (2.9 MB)
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1  Course Overview.mp4 (2.96 MB)
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1  Introduction.mp4 (2.66 MB)
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2  What Is a Time Series.mp4 (4.02 MB)
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3  Evaluation Metrics.mp4 (6.08 MB)
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4  Using a Hold Out.mp4 (3.64 MB)
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5  Load Data.mp4 (4.5 MB)
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6  Basic Time Series Windows.mp4 (6.44 MB)
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1  Introduction.mp4 (2.37 MB)
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2  Data Preparation.mp4 (4.32 MB)
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3  Split Data.mp4 (6.3 MB)
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4  WindowGenerator Class.mp4 (8.88 MB)
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5  Additional Methods in WindowGenerator.mp4 (3.09 MB)
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6  More Methods.mp4 (4.1 MB)
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7  Single Step Window.mp4 (4.35 MB)
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8  Baseline Model Class.mp4 (7.91 MB)
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9  Linear Model.mp4 (8.31 MB)
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1  Introduction.mp4 (2.2 MB)
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2  Compile and Fit.mp4 (7.52 MB)
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3  Dense Model.mp4 (6.34 MB)
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4  Convolutional Model.mp4 (8.44 MB)
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5  Recurrent Neural Networks.mp4 (10.78 MB)
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1  Introduction.mp4 (1.92 MB)
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2  Predict Multiple Outputs.mp4 (6.57 MB)
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3  RNN on Multiple Outputs.mp4 (3.25 MB)
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4  Predict Multiple Periods.mp4 (6.47 MB)
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5  Linear Model and Multiple Periods.mp4 (4.9 MB)
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6  Dense Model and Multiple Periods.mp4 (2.36 MB)
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7  CNNs and Multiple Outputs.mp4 (5.86 MB)
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8  LSTM and Multiple Outputs.mp4 (6.31 MB)
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