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Learn By Example: PyTorch
You, This Course and Us
You, This Course and Us
Course Materials
Introduction To PyTorch And Neural Networks
Overview
Neurons And Neural Networks
Introducing PyTorch
Installation And Setup
The Computation Graph
Gradient Descent
Forward And Backward Passes
PyTorch Tensors
PyTorch Tensors
PyTorch Tensors Implementation - I
PyTorch Tensors Implementation - II
PyTorch Tensors Implementation - III
Gradient Descent And Autograd
Gradients, A Vector Of Partial Derivatives
Autograd
Reverse Mode Auto Differentiation
Linear Regression Using Autograd
Regression and Classification
Regression To Predict Air Quality
Regression To Predict Air Quality - continued
Optimizers
Neural Networks For Classification
Classification To Categorize Salary Categories
Classification To Categorize Salary Categories - continued
Convolutional Neural Networks In PyTorch
Viewing An Image
Convolution
Pooling
CNN Architectures
Batch Normalization
Neural Networks To Classify House Numbers
Neural Networks To Classify House Numbers - continued
Recurrent Neural Networks In PyTorch
Recurrent Neurons
Layers In An RNN
Long/Short Term Memory
Language Prediction Using RNNs
Recurrent Neural Networks To Predict Languages Associated With Names
Confusion Matrix
Confusion Matrix For Classification
Transfer Learning And Pre-trained Models
Transfer Learning
Resnet-18 Model To Classify Fruits
Resnet-18 Model To Classify Fruits - continued
Summary
Transfer Learning
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