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DevelopmentData ScienceNeural Networks

Artificial Intelligence #6 : LSTM Neural Networks with Keras

Learn how to create Recurrent Neural Network and LSTMs by using Keras Libraries and Python
Rating: 3.5 out of 53.5 (95 ratings)
1,547 students
Created by Sobhan N.
Last updated 11/2018
English
English [Auto]

What you'll learn

  • You'll know how recurrent neural networks work.
  • You'll know how to make simple neural network in Keras environment.
  • You'll learn how to create LSTM networks using python and Keras
  • You'll know how to increase accuracy and decrease error of recurrent neural networks
  • You'll know how to forecast google stock price with high accuracy
  • You'll learn how to use power of neural networks to forecast temperature of New York.
  • You'll learn how to predict NASDAQ Index by using LSTMs.
  • You'll know how to use power of neural networks to forecast wind speed of New York.

Requirements

  • All you need is a decent PC/Laptop (2GHz CPU, 4GB RAM). You will get the rest from me.
  • You should know about basic statistics
  • You must know basic python programming
  • Install Sublime and required library for python
  • You should have a great desire to learn programming and do it in a hands-on fashion, without having to watch countless lectures filled with slides and theory.

Description

Do you like to learn how to forecast economic time series like stock price or indexes with high accuracy?

Do you like to know how to predict weather data like temperature and wind speed with a few lines of codes?

If you say Yes so read more ...

Artificial neural networks (ANNs) or connectionist systems are computing systems vaguely inspired by the biological neural networks that constitute animal brains. Such systems "learn" to perform tasks by considering examples, generally without being programmed with any task-specific rules.  

A recurrent neural network (RNN) is a class of artificial neural network where connections between nodes form a directed graph along a sequence. This allows it to exhibit temporal dynamic behavior for a time sequence. Unlike feedforward neural networks, RNNs can use their internal state (memory) to process sequences of inputs.

In this course you learn how to build RNN and LSTM network in python and keras environment. I start with basic examples and move forward to more difficult examples.

In the 1st section you'll learn how to use python and Keras to forecast google stock price .  

In the 2nd section you'll know how to use python and Keras to predict NASDAQ Index precisely.

In the 3rd section you'll learn how to use python and Keras to forecast New York temperature with low error. 

In the 4th section you'll know how to use python and Keras to predict New York Wind speed accurately.

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Important information before you enroll:

  • In case you find the course useless for your career, don't forget you are covered by a 30 day money back guarantee, full refund, no questions asked!

  • Once enrolled, you have unlimited, lifetime access to the course!

  • You will have instant and free access to any updates I'll add to the course.

  • You will give you my full support regarding any issues or suggestions related to the course.

  • Check out the curriculum and FREE PREVIEW lectures for a quick insight.

___________________________________________________________________________

It's time to take Action!

Click the "Take This Course" button at the top right now!

...Don't waste time! Every second of every day is valuable...

I can't wait to see you in the course!

Best Regrads,

Sobhan

Who this course is for:

  • Anyone who wants to learn Recurrent Neural Networks and LSTMs
  • Anyone who want to forecast stock market time series.
  • Anyone who wants to learn Keras
  • Learners who want to work in data science and big data field
  • students who want to learn machine learning
  • Data analyser, Researcher, Engineers and Post Graduate Students

Instructor

Sobhan N.
AI Developer|Electrical Engineer (PhD)|21,000+ Students
Sobhan N.
  • 3.5 Instructor Rating
  • 448 Reviews
  • 22,162 Students
  • 15 Courses

My passion is teaching people through online courses. I love learning new skills, and since 2015 have been teaching people like you everything. I create courses that teach you how to become the better version of yourself with all kinds of skills.  

What would you like to learn?  

Would you like to learn Artificial Intelligence in python?  

Would you like to make money creating landing pages?  

Would you like to build your own AI programs & do something awesome for you?  

Would you like to learn Xamarin to make both iOS/Android apps?  

Would you like to learn how to write codes in HTML5 and CSS3?  

Would you like to learn MATLAB the scientific language for researchers?  

 

If you want to do any of these things, just enroll in the course. You have a 30-day money back guarantee if you don't like it. And I'm always improving my courses so that they stay up to date and the best that they can be. Check them out, and enroll today!  

__________________________________________________________________________  

About Sobhan N:   

I have PhD degree in Electrical Engineering and like to learn anything about Electronics, Programming and Artificial Intelligence. I like electronic stuff like Arduino, Raspberry Pi and microcontrollers.  

My passion is helping people reveal hidden talents and guide them into the world of startups and programming. I currently am teaching Artificial Intelligence, App Deign, Web Design and MATLAB programming languages. I’m also teaching Electrical Engineering and Computer Science Courses in Universities. 

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