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    • Introduction
      • Executive Summary
      • Basic Methods
    • Deep Learning
      • Gradient Descent and SGD
      • Back Propogation
      • Cross Entropy Cost Function
      • Overfitting and Regularization
    • Convolutional Neural Networks
      • Basic Terminologies
      • Types of Convoutions
      • Famous CNNs
    • Generative Adversial Networks
      • Inverse Transform Method
      • Generative Models
    • Resources Used

    Resources Used


    • Neural Networks and Deep Learning by Miachel Nielson
    • A Machine Learning course here
    • Notes on Machine Learning here
    • Understanding Generative Adversarial Networks
    • Follow:
    • GitHub
    © 2023 Akash Cherukuri. All Lefts Reserved.