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Deep Learning - LSTM - Long Short Term Memory - Introduction Tutorial

Deep Learning

Deep Learning

  • Introduction
  • LSTM - Long Short Term Memory
    • Introduction
  • ANN - Artificial Neural Network
    • Perceptron
    • Multilayer Perceptron (Notation & Memoization)
    • Forward Propagation
    • Backward Propagation
    • Perceptron Loss Function
    • Loss Function
    • Gradient Descent | Batch, Stochastics, Mini Batch
    • Vanishing & Exploding Gradient Problem
    • Early Stopping, Dropout. Weight Decay
    • Data Scaling & Feature Scaling
    • Regularization
    • Activation Function
    • Weight Initialization Techniques
    • Optimizer
    • Keras Tuner | Hyperparameter Tuning
  • CNN - Convolutional Neural Network
    • Introduction
    • Padding & Strides
    • Pooling Layer
    • CNN Architecture
    • Backpropagation in CNN
    • Data Augmentation
    • Pretrained Model & Transfer Learning
    • Keras Functional Model
  • RNN - Recurrent Neural Network
    • RNN Architecture & Forward Propagation
    • Types Of RNN
    • Backpropagation in RNN
    • Problems with RNN

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