PyTorch Mastery: From Basics to Advanced

Date Created
14/11/2024

This course provides a comprehensive journey through PyTorch, starting from basic concepts like tensors and neural networks to advanced topics such as transfer learning, custom layers, and model deployment. By the end, you’ll be well-equipped to build, train, and deploy powerful machine learning models using PyTorch.

What you will learn -

Introduction to PyTorch
Getting Started with PyTorch
Unveiling the Power of Tensors in PyTorch
Mastering Tensor Operations and Manipulation in PyTorch
Unleashing the Power of Autograd
Building a Simple Neural Network in PyTorch
Mastering Loss Functions and Optimization in PyTorch
Mastering PyTorch Optimizers and Learning Rate Scheduling
Mastering PyTorch Datasets and DataLoaders
Implementing Feedforward Neural Networks in PyTorch
Mastering Convolutional Neural Networks in PyTorch
Mastering Recurrent Neural Networks in PyTorch
Unlocking the Power of Transfer Learning with PyTorch
Model Evaluation and Validation Techniques in PyTorch
Mastering PyTorch Model Persistence
Unleashing GPU Power
Custom Layers and Modules in PyTorch
Debugging and Visualizing PyTorch Models
Supercharge Your Neural Network Training with PyTorch Lightning
Deploying PyTorch Models to Production