Introduction
Deep learning with PyTorch
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What you should know
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Tour of CoderPad
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1. PyTorch Overview and Introduction to Google Colaboratory
Introduction to deep learning
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Why should you use PyTorch
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Google Colaboratory basics
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2. Tensors
Introduction to tensors
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Creating a tensor CPU example
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Creating a tensor GPU example
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Moving tensors between CPUs and GPUs
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3. Creating Tensors
Different ways to create tensors
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Tensor attributes
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Tensor data types
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Creating tensors from random samples
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Creating tensors like other tensors
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Solution: Create tensors
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4. Manipulate Tensors
Tensor operations
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Mathematical functions
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Linear algebra operations
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Automatic differentiation (Autograd)
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Solution: Split tensors to form new tensors
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5. Developing a Deep Learning Model
Introduction to the DL training process
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Data preparation
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Data loading
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Data transforms
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Data batching
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Model development and training
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Validation and testing
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