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