Home Courses AI skills – Introduction to Unsupervised, Deep and Reinforcement Learning Course materials Readings 4.3.1 Overview

4.3.1 Overview

Course subject(s) Module 4. Introduction to Deep Learning

In this subsection we will learn about algorithms to train deep neural networks. After this, you should be able to:

  • compute the derivatives of the parameters of a neural network with respect to a loss function using the backpropagation algorithm
  • train fully connected neural networks using ADAM
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AI Skills: Introduction to Unsupervised, Deep and Reinforcement Learning by TU Delft OpenCourseWare is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Based on a work at https://online-learning.tudelft.nl/courses/ai-skills-introduction-to-unsupervised-deep-and-reinforcement-learning/
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