Implementation-of-Neural-Network

This repository is based on the first course (Neural Networks and Deep Learning) of the Deep Learning Specialization by Andrew NG.

• Simple Neural Network
  

  Neural Network having a single layer with only one neuron

• Shallow Neural Network(1 hidden layer)
  

  Neural Network having a 1 hidden layer with 'n' neurons

• Deep Neural Network(L hidden layers)
  

  Neural Network having 'L' layers with multiple neurons each

• Gradient Checking
  

  Checking the correct implementation of Gradient descent

• Regularization
  

  Implementation of the various regularization techniques like L2 Regularization and DroupOut

• Optimization
  

  Implementation of various optimization methods like Mini-batch, ADAM, RMS-prop, and Momentum