Foundations
Deep Learning Introduction
Enter the world of neural networks and deep learning. Learn about perceptrons, backpropagation, and building your first neural networks using PyTorch.
Introduction
Enter the world of neural networks and deep learning. Learn about perceptrons, backpropagation, and building your first neural networks using PyTorch.
4 Lessons
28h Est. Time
4 Objectives
1 Assessment
By completing this module you will be able to:
✓ Understand neural network architecture and forward propagation
✓ Master the backpropagation algorithm
✓ Build and train simple neural networks with PyTorch
✓ Work with activation functions and loss functions
Lessons
Work through each lesson in order. Each one builds on the concepts from the previous lesson.
1
Neural Networks from Scratch
2
PyTorch Fundamentals
3
Convolutional Neural Networks
4
Recurrent Networks and Sequence Models
Recommended Reading
Supplement your learning with these selected chapters from the course library.
AI and ML for Coders in PyTorch
Chapters 1-5
Mastering PyTorch 2e
Chapters 1-3
Module Assessment
Deep Learning Introduction
Question 1 of 3