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Deep Neural Network Autoencoders in TensorFlow and Keras - Part 1

Jeff Heaton via YouTube

Overview

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This course demonstrates how to build autoencoders in TensorFlow and Keras, covering function approximation, image reconstruction, and denoising autoencoders. It uses neural networks to learn compact image representations and repair noisy images.

Syllabus

Introduction
Function Approximation
Image Creation
Autoencoder
Multi Image Autoencoder
Denoise Autoencoder

Taught by

Jeff Heaton

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