Introduction to Deep Learning & Neural Networks
INTERACTIVE COURSE

Introduction to Deep Learning & Neural Networks

Intermediate

52 Lessons

4h 30min

Certificate of Completion

Introduction to Deep Learning & Neural Networks
1 Assessment
24 Playgrounds
11 Challenges
8 Quizzes
89 Illustrations

Takeaway Skills

Understanding of the most popular Deep Learning models

A solid grasp on the mathematics and the intuition behind the algorithms

A good experience with Deep Learning Programming and Pytorch

Course Overview

This course is an accumulation of well-grounded knowledge and experience in deep learning. It provides you with the basic concepts you need in order to start working with and training various machine learning models. You will cover both basic and intermediate concepts including but not limited to: convolutional neural networks, recurrent neural networks, generative adversarial networks as well as transformers. After completing this course, you will have a comprehensive understanding of the fundamental ar...Show More

Course Content

1

Learn Deep Learning

2

Neural Networks

3

Training Neural Networks

4

Convolutional Neural Networks

5

Recurrent Neural Networks

6

Autoencoders

5 Lessons

7

Generative Adversarial Networks

4 Lessons

8

Attention and Transformers

10 Lessons

9

Graph Neural Networks

5 Lessons

10

Conclusion

2 Lessons

Final Quiz

Assessment

COURSE AUTHOR

How You'll Learn

Hands-on Coding Environments

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AI-Powered Learning

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Progress You Can Show

Built-in assessments let you test your skills. Completion certificates let you show them off.

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