In this course, explore how autoencoders can compress and reconstruct data, offering insights into unsupervised learning for dimensionality reduction.
Overview
Syllabus
- Lesson 1: Building Neural Networks with Keras: An Introduction
- Lesson 2: Understanding Forward Propagation in Neural Networks
- Lesson 3: Understanding and Implementing Autoencoders with Keras for Dimensionality Reduction
- Lesson 4: Fine-Tuning Autoencoders: Mastering Hyperparameters
- Lesson 5: Understanding Optimizers in Autoencoders
