Deep Neural Network Autoencoders in TensorFlow and Keras - Part 1

Explore the creation of autoencoders in Keras and TensorFlow, including denoising autoencoders, in this 22-minute video tutorial. Learn about function approximation, image creation, and multi-image autoencoders as part of a comprehensive deep learning course. Follow along with the instructor's step-by-step explanations and demonstrations, gaining practical insights into implementing these powerful neural network architectures. Discover how autoencoders can be applied to various tasks, such as dimensionality reduction and noise removal in images. Access additional resources, including the complete course materials and playlist, to further enhance your understanding of deep learning applications.

Introduction
Function Approximation
Image Creation
Autoencoder
Multi Image Autoencoder
Denoise Autoencoder