Getting Started With Deep Learning: Working With Data: Gradient Descent

About

Learn about the importance of gradient descent and backpropagation, under the umbrella of Data and Machine Learning, from Cloud Academy.

From the internals of a neural net to solving problems with neural networks to understanding how they work internally, this lesson expertly covers the essentials needed to succeed in machine learning.

Learning Objective

  • Understand the importance of gradient descent and backpropagation
  • Be able to build your own neural network by the end of the lesson

Prerequisites

 

Unit UUID
Course UUID
Catalit
This content is developed in partnership with Catalit
Learn more