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Introduction to Deep Learning with PyTorch

Overview

Skills Needed

Get started with deep learning using PyTorch. Explore neural network architectures, optimization algorithms, and building basic models with PyTorch.

  • Basic knowledge of Python programming
  • Understanding of machine learning concepts

Outline

  • Introduction to Deep Learning
  • Setting Up PyTorch Environment
  • Building Neural Networks with PyTorch
  • Activation Functions and Loss Functions
  • Training Neural Networks
  • Optimizers and Learning Rate Scheduling
  • Regularization Techniques
  • Evaluation Metrics for Deep Learning Models
  • Transfer Learning with Pre-trained Models
  • Building Basic Deep Learning Models with PyTorch

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