/Neural_Networks_Deep_learning

List of good blogs for Neural Networks and Deep Learning course 🙂

Mod 1 - Introduction to Neural Networks

  1. What is neural networks
  2. Activation functions
  3. Machine Learning Methods
  4. Underfitting and Overfitting
  5. McCulloch-Pitts Model of Neuron
  6. Generalization in Machine Learning
  7. Neural Network input process and output Machanism

Mod 2 - Introduction to Deep Learning

  1. XOR Problem
  2. Multilapyer Perceptron
  3. Back Propagation
  4. Cost, Lost and Activation Function
  5. Mahcine Learning Algorithms
  6. Regularization Techniques
  7. Optimization Algorithms

Mod 3 - Deep Feed forward Networks and Convolutional Networks

  1. CNN Architecture
  2. Parameter Sharing
  3. Hyper Parameter
  4. GANs

Mod 4 - Sequence Models

  1. RNN Types
  2. Long short term memory
  3. Gated RNNs

Mod 5 - Auto Encoders

  1. AutoEncoders
  2. Hyperparameter tuning
  3. Application of AutoEncoders
  4. Predictive Sparse Decomposition

Mod 6 - Deep Generative Models

  1. Boltzmann machines
  2. Deep Believe Network
  3. Restricted Boltzmann machines
  4. Types of Boltzmann Machines

Mod 7 - Practical Applications and Road to Artificial Intelligence

  1. Computer Vision
  2. Natural Language processing
  3. Sequence Modelling
  4. Speech Recognition