Machine Learning

UNIT IV Autoencoders 1.      Denoising Autoencoders 2.      Sparse Autoencoders 3.      Deep Autoencoders 4.      Variational Autoencoders 5.      GANS   👉 Autoencoders Notes 👉 Autoencoders PPTs

UNIT IV  Autoencoders  1. Denoising Autoencoders  2. Sparse Autoencoders  3. Deep Autoencoders  4. Variational Autoencoders  5. GANS   Reference: Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow Concepts, Tools, and Techniques to Build Intelligent Systems, Aurélien Géron, SECOND EDITION, O’Reilly

UNIT IV  Autoencoders   1. Denoising Autoencoders  2. Sparse Autoencoders  3. Deep Autoencoders  4. Variational Autoencoders  5. GANS   Reference: Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow Concepts, Tools, and Techniques to Build Intelligent Systems, Aurélien Géron, SECOND EDITION, O’Reilly