ThinamXx/NeuralNetworks_and_DeepLearning

In this repository, you will gain insights about Neural Networks and Deep Learning.

Neural Networks and Deep Learning

Neural Networks

• Artificial neural networks, usually simply called neural networks, are computing systems vaguely inspired by the biological neural networks that constitute animal brains. An ANN is based on a collection of connected units or nodes called artificial neurons, which loosely model the neurons in a biological brain.

Deep Learning

• Deep learning is part of a broader family of machine learning methods based on artificial neural networks with representation learning. Learning can be supervised, semi-supervised or unsupervised.

Note:

• All the Notebooks included in this repository presents the Implementation of Neural Networks in Deep Learning. These Notebooks are taken from the courses which I have completed from Coursera. I have included insightful Notebooks such as:

  • Building Neural Network: Step by step
  • Deep Neural Network
  • Logistic Regression with Neural Network
  • Regularization and Dropout
  • Initialization of Neural Networks
  • Numpy for Neural Networks