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Download /_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/A1. Getting Started with TensorFlow 2.0 (Janani Ravi, 2020)/4. Computing Gradients for Model Training/1. Gradient Descent.vtt

TensorFlow

Pluralsight Path Building Machine Learning Solutions with TensorFlow 2020 A1 Getting Started with TensorFlow Janani Ravi 2020 Computing Gradients for Model Training Gradient Descent vtt

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_TensorFlow

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6.7 GB

Total Files

1275

Last Seen

2025-05-31 00:08

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06A6390F3269A6045F8C101444C9E9949CD23DE0

/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/A1. Getting Started with TensorFlow 2.0 (Janani Ravi, 2020)/4. Computing Gradients for Model Training/1. Gradient Descent.vtt

8.8 KB

/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/A1. Getting Started with TensorFlow 2.0 (Janani Ravi, 2020)/4. Computing Gradients for Model Training/1. Gradient Descent.mp4

10.4 MB

/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/A1. Getting Started with TensorFlow 2.0 (Janani Ravi, 2020)/4. Computing Gradients for Model Training/2. Forward and Backward Passes.vtt

3.8 KB

/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/A1. Getting Started with TensorFlow 2.0 (Janani Ravi, 2020)/4. Computing Gradients for Model Training/2. Forward and Backward Passes.mp4

5.5 MB

/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/A1. Getting Started with TensorFlow 2.0 (Janani Ravi, 2020)/4. Computing Gradients for Model Training/3. Calculating Gradients Using Gradient Tape.vtt

7.8 KB

/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/A1. Getting Started with TensorFlow 2.0 (Janani Ravi, 2020)/4. Computing Gradients for Model Training/4. Reverse Mode Automatic Differentiation.vtt

5.8 KB

/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/A1. Getting Started with TensorFlow 2.0 (Janani Ravi, 2020)/4. Computing Gradients for Model Training/3. Calculating Gradients Using Gradient Tape.mp4

9.7 MB

/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/A1. Getting Started with TensorFlow 2.0 (Janani Ravi, 2020)/4. Computing Gradients for Model Training/4. Reverse Mode Automatic Differentiation.mp4

7.6 MB

/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/A1. Getting Started with TensorFlow 2.0 (Janani Ravi, 2020)/4. Computing Gradients for Model Training/5. Demo - Gradient Tape for Gradient Calculations.vtt

5.9 KB

/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/A1. Getting Started with TensorFlow 2.0 (Janani Ravi, 2020)/4. Computing Gradients for Model Training/6. Demo - Understanding Gradient Tape Operations.vtt

7.4 KB

/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/A1. Getting Started with TensorFlow 2.0 (Janani Ravi, 2020)/4. Computing Gradients for Model Training/5. Demo - Gradient Tape for Gradient Calculations.mp4

8.7 MB

/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/A1. Getting Started with TensorFlow 2.0 (Janani Ravi, 2020)/4. Computing Gradients for Model Training/6. Demo - Understanding Gradient Tape Operations.mp4

10.9 MB

/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/A1. Getting Started with TensorFlow 2.0 (Janani Ravi, 2020)/4. Computing Gradients for Model Training/8. Demo - Simple Regression with a Sequential Model.vtt

5.6 KB

/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/A1. Getting Started with TensorFlow 2.0 (Janani Ravi, 2020)/2. Exploring the TensorFlow 2.0 Framework/1. Version Check.vtt

0.0 KB

/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/A1. Getting Started with TensorFlow 2.0 (Janani Ravi, 2020)/4. Computing Gradients for Model Training/7. Demo - Simple Regression Using Gradient Calculation.vtt

10.9 KB

 

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