Path: blob/main/Autoencoder - Deep CNN/README.md
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Deep CNN Autoencoder - Image Compression - Denoising Image
Complete Video Tutorial for Image Compression: https://youtu.be/B2MKpFtM1_Q
Complete Video Tutorial for Denoising Image: https://youtu.be/En4dZh51Tic
Project Information
An autoencoder is an unsupervised learning technique for neural networks that learns efficient data representations (encoding) by training the network to ignore signal “noise.” Autoencoders can be used for image denoising, image compression, and, in some cases, even generation of image data.
Flow of Autoencoder
Input Image -> Encoder -> Compressed Representation -> Decoder -> Reconstruct Input Image
Environment: Google Colab
Libraries
numpy
matplotlib
keras
tensorflow