Introduction to PyTorch and Machine Learning

Introduction to PyTorch and Machine Learning/3. Working with Real World Data/3. Essential Python Recipes for Deep Learning.mp4

Introduction to PyTorch and Machine Learning/1. PyTorch Basics & Linear Regression/1. Linear Regression with PyTorch.mp4

Introduction to PyTorch and Machine Learning/2. Linear Regression with PyTorch/9. Recap Linear Regression.mp4

Introduction to PyTorch and Machine Learning/1. PyTorch Basics & Linear Regression/4. Tensors and Gradients.mp4

Introduction to PyTorch and Machine Learning/2. Linear Regression with PyTorch/6. Compute gradients automatically.mp4

Introduction to PyTorch and Machine Learning/2. Linear Regression with PyTorch/7. Gradient Descent.mp4

Introduction to PyTorch and Machine Learning/1. PyTorch Basics & Linear Regression/2. Anaconda Installation.mp4

Introduction to PyTorch and Machine Learning/3. Working with Real World Data/2. Downloading Data from Kaggle.mp4

Introduction to PyTorch and Machine Learning/1. PyTorch Basics & Linear Regression/5. Numpy and PyTorch interoperability.mp4

Introduction to PyTorch and Machine Learning/1. PyTorch Basics & Linear Regression/3. Starting Jupyter & Creating Notebooks.mp4

Introduction to PyTorch and Machine Learning/2. Linear Regression with PyTorch/8. Train multiple epochs.mp4

Introduction to PyTorch and Machine Learning/2. Linear Regression with PyTorch/4. Define model & generate predictions.mp4

Introduction to PyTorch and Machine Learning/2. Linear Regression with PyTorch/5. Loss Function.mp4

Introduction to PyTorch and Machine Learning/3. Working with Real World Data/1. Introduction to Kaggle.mp4

Introduction to PyTorch and Machine Learning/2. Linear Regression with PyTorch/3. Initialize Weights and Biases.mp4

Introduction to PyTorch and Machine Learning/2. Linear Regression with PyTorch/2. Training Data as Matrices.mp4

Introduction to PyTorch and Machine Learning/2. Linear Regression with PyTorch/1. Introduction to Linear Regression.mp4

Introduction to PyTorch and Machine Learning/1. PyTorch Basics & Linear Regression/1. Linear Regression with PyTorch.vtt

Introduction to PyTorch and Machine Learning/3. Working with Real World Data/3. Essential Python Recipes for Deep Learning.vtt

Introduction to PyTorch and Machine Learning/2. Linear Regression with PyTorch/9. Recap Linear Regression.vtt

Introduction to PyTorch and Machine Learning/2. Linear Regression with PyTorch/6. Compute gradients automatically.vtt

Introduction to PyTorch and Machine Learning/2. Linear Regression with PyTorch/7. Gradient Descent.vtt

Introduction to PyTorch and Machine Learning/1. PyTorch Basics & Linear Regression/4. Tensors and Gradients.vtt

Introduction to PyTorch and Machine Learning/1. PyTorch Basics & Linear Regression/2. Anaconda Installation.vtt

Introduction to PyTorch and Machine Learning/2. Linear Regression with PyTorch/5. Loss Function.vtt

Introduction to PyTorch and Machine Learning/3. Working with Real World Data/2. Downloading Data from Kaggle.vtt

Introduction to PyTorch and Machine Learning/1. PyTorch Basics & Linear Regression/5. Numpy and PyTorch interoperability.vtt

Introduction to PyTorch and Machine Learning/2. Linear Regression with PyTorch/4. Define model & generate predictions.vtt

Introduction to PyTorch and Machine Learning/3. Working with Real World Data/1. Introduction to Kaggle.vtt

Introduction to PyTorch and Machine Learning/1. PyTorch Basics & Linear Regression/3. Starting Jupyter & Creating Notebooks.vtt

Introduction to PyTorch and Machine Learning/2. Linear Regression with PyTorch/1. Introduction to Linear Regression.vtt

Introduction to PyTorch and Machine Learning/ReadMe.txt

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Introduction to PyTorch and Machine Learning/3. Working with Real World Data/ReadMe.txt

Introduction to PyTorch and Machine Learning/2. Linear Regression with PyTorch/8. Train multiple epochs.vtt

Introduction to PyTorch and Machine Learning/2. Linear Regression with PyTorch/2. Training Data as Matrices.vtt

Introduction to PyTorch and Machine Learning/2. Linear Regression with PyTorch/3. Initialize Weights and Biases.vtt

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