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AI Academy #3: Learn Artificial Neural Networks from A-Z

AI Academy #3: Learn Artificial Neural Networks from A-Z

3499
Start anytime
Self paced
English
Course by
UdemyCourses from Udemy
Certificate awarded
Mixed
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Checklist

Certification

You will get a certificate on completing this course.

University

This course is not affiliated with any university.

Price

This course is costly - Rs. 3499/-.

Difficulty

The students of this course have found this course easy.

Content

The students of this course have liked the content of this course.

Assignments

The students of this course have liked the assignments of this course.

Teaching

The students of this course have liked how the instructor has taught this course.

Satisfaction

The students of this course are overall satisfied with this course.

Edvicer's Rewards

You can get a cashback of ₹ 175 on buying this course.

Why should you choose this course?

Description

Learn different types of Neural Networks like Multi layer Perceptron, Recurrent Networks and LSTMs. SourceCodes Included

Syllabus

1. Recurrent Neural Networks and LSTMs
2. Multilayer Perceptron Neural Networks Using Scikit Learn
3. Multilayer Perceptron Neural Networks Using Keras
4. Introduction to LSTMs Neural Networks
5. Predict Google stock price using LSTMs
6. Forecast NASDAQ Index using LSTMs and Keras library
7. Predict New York annual temperature using LSTMs
8. Forecast New York wind speed using LSTMs and Keras library

What others say about this course

Reviews from Udemy

Need more explanation

To be honest, I did not know how to compose the code in order to make prediction. With the help of these courses I have learned how to predict and write codes properly. All the courses were well- organ  Read More ...

accent

This course is amazing and above my expectations! Very good exercises, good speed, well communicated. The instructor made me feel very comfortable and was able to take many things away. Excellent conte  Read More ...

Sobhan explains the each and every topic in an easy manner, any one who dont have much background in data mining can also understand with his ease explanation.

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