Embark on a journey to understand and build simple neural networks using PyTorch. This course explores neural networks, including essential concepts like layers, neurons, activation functions, and training a model. You’ll grasp these elements through progressive, interlocking code examples, culminating in the construction and evaluation of a simple neural network model for binary classification.
Overview
Syllabus
- Lesson 1: Initializing a Neural Network Model in PyTorch
- Lesson 2: Building Networks Easily with Sequential Models in PyTorch
- Lesson 3: Training a Neural Network Model with PyTorch
- Lesson 4: Making Predictions with a Trained PyTorch Model
- Lesson 5: Evaluating a Model with PyTorch
