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Deep-Learning

These are Neural Networks and Deep Learning Course Materials given by deeplearning.ai and Andrew NG.

Learning Objectives

In this course, you will learn the foundations of deep learning. When you finish this class, you will:

  • Understand the major technology trends driving Deep Learning
  • Be able to build, train and apply fully connected deep neural networks
  • Know how to implement efficient (vectorized) neural networks
  • Understand the key parameters in a neural network's architecture

This course also teaches you how Deep Learning actually works, rather than presenting only a cursory or surface-level description. So after completing it, you will be able to apply deep learning to a your own applications. If you are looking for a job in AI, after this course you will also be able to answer basic interview questions.

Programming Assignments:

  • Python Basics with Numpy
  • Logistic Regression with a Neural Network mindset
  • Planar data classification with one hidden layer
  • Building your Deep Neural Network Step by Step
  • Deep Neural Network Application

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