Troubleshooting Python Deep Learning [Video]
Building Deep Learning models with Python is a strenuous task and there are chances of getting stuck on specific tasks. When that happens, you usually end up searching for solutions and need to manually look for ways to come out of these problems. This wastes both time and effort and may also lead to reduced performance of your Deep Learning system.
After carefully analyzing the most popular errors or problems that arise while working on Deep Learning models, we have identified the most usable models used for classification in this course and provided practical yet unique solutions to each problem that are easy to understand and implement.
By the end of the course, you will be well-versed to tackle and troubleshoot any errors with your Deep learning models.
The code bundle for this video course is available at - https://github.com/PacktPublishing/Troubleshooting-Node.jsStyle and Approach
This video tutorial provides practical insights on how to solve issues in your Deep Learning models. You’ll identify and address specific problems faced while working with Deep Learning and tackle them straight away with Python.
|Course Length||3 hours 2 minutes|
|Date Of Publication||29 Apr 2019|