Literacy Essentials: Core Concepts Deep Learning

سرفصل های دوره

Deep Learning is an essential skill for a data scientist these days. This course will teach you how neural networks work, where they’re used, and how you can apply them to your own problems.

01. Course Overview

01. Course Overview

02. Introduction to Deep Learning

02. Course Introduction and Module Overview

03. What Is Deep Learning

04. Applications of Deep Learning in the Industry

05. Deep Learning Frameworks

06. Demo-Introduction to the Problem and Dataset

07. Demo-Setting up Your Environment

08. Module Summary

03. The Inner Workings of Deep Learning

09. Module Overview

10. The Perceptron-From Biological to Artificial Neurons

11. Activation Functions

12. The Design and Working of a Neural Network

13. Gradient Descent

14. Demo-Basic Dataset Exploration

15. Demo-Preparing the Data - Part 1

16. Demo-Preparing the Data - Part 2

17. Demo-Building Training and Evaluating a Neural Network

18. Module Summary

04. Types of Neural Networks and Their Uses

19. Module Overview

20. Convolutional Neural Networks

21. Recurrent Neural Networks

22. Long Short-term Memory Networks

23. Generative Adversarial Networks

24. Autoencoders

25. Module Summary and Course Feedback

235,000 تومان

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تولید کننده: PluralSight