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Troubleshooting and Improving Neural Network Performance

by Dhiraj Kumar

This course will teach you neural network troubleshooting and performance tuning from a data scientist's perspective.

What you'll learn

Understand various troubleshooting techniques for neural networks and how to improve neural network performance effectively. In this course, Troubleshooting and Improving Neural Network Performance, you’ll gain the ability to troubleshoot neural network performance effectively. First, you’ll explore diagnostic tools for analyzing neural network performance. Next, you’ll discover how to identify common issues such as overfitting, underfitting, and stagnant learning. Finally, you’ll learn how to improve training stability. When you’re finished with this course, you’ll have the troubleshooting skills needed to improve neural network performance.

Table of contents

Course Overview
1min

About the author

Dhiraj is a data evangelist and online trainer in Python, machine learning, deep learning, artificial intelligence, C#, ASP.NET, AZURE, and AWS.

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