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Data Science

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

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

3.70 (19 reviews)

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

Students

4.5 hours

Content

Jan 2019

Last Update
Regular Price


What you will learn

Learn how Neural Networks work.

Learn how Gradient Descent trained a neural network.

Program Multilayer Perceptron Network from scratch in python.

Learn how to use MLPClassifier for their purposes.

You'll know how recurrent neural networks work.

You'll learn how to create LSTM networks using python and Keras

You'll learn how to predict NASDAQ Index by using LSTMs.

You'll know how to forecast Google stock price with high accuracy

Classify datasets by using Support Vector Machine method


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.  

In this Course you learn multilayer perceptron (MLP) neural network by using Scikit learn & Keras  libraries and Python.You learn how to classify datasets by MLP Classifier to find the correct classes for them. Next you go further. You will learn how to forecast time series model by using neural network in Keras  environment.

Next you are going to 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 first section you learn how to use python and sklearn MLPclassifier to forecast output of different datasets. 

  • Logic Gates

  • Vehicles Datasets

  • Generated Datasets

In second section you can forecast output of different datasets using Keras library

  • Random datasets

  • Forecast International Airline passengers

  • Los Angeles temperature forecasting


Next you are going further and learn how to make Recurrent Neural Networks:

  • In the 3rd section you'll learn how to use python and Keras to forecast google stock price .  


  • In the 4th section you'll know how to use python and Keras to predict NASDAQ Index precisely.


  • In the 5th section you'll learn how to use python and Keras to forecast New York temperature with low error. 


  • In the 6th 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.

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Music from Jukedeck - create your own at jukedeck com

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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


Content

Recurrent Neural Networks and LSTMs

Introduction

Required Softwares and Libraries

Multilayer Perceptron Neural Networks Using Scikit Learn

Theory of Neural Networks

Make MLP neural network to create Logic Gates

Source Code

Using MLP to Detect Vehicles Precisely Part 1

Using MLP to Detect Vehicles Precisely Part 2

Source Code

Classify random data using Multilayer Perceptron Part 1

Classify random data using Multilayer Perceptron Part 2

Source Code

Multilayer Perceptron Neural Networks Using Keras

Using Keras to forecast 1000 data with 100 features in a few seconds Part 1

Using Keras to forecast 1000 data with 100 features in a few seconds Part 2

Source Code

Forecasting international airline passengers using keras Part1

Forecasting international airline passengers using keras Part2

Source Code

Los Angeles Temperature Forecasting Part 1

Los Angeles Temperature Forecasting Part 2

Los Angeles Temperature Forecasting Part 3

Source Code

Multilayer Perceptron Neural Networks Quiz

Introduction to LSTMs Neural Networks

Recurrent neural networks and LSTMs theory

Predict Google stock price using LSTMs

Predict Google stock price using LSTMs - Part1

Predict Google stock price using LSTMs - Part2

Predict Google stock price using LSTMs - Part3

Predict Google stock price using LSTMs - Part3

Predict Google stock price using LSTMs - Part5

Source Code

Forecast NASDAQ Index using LSTMs and Keras library

Forecast NASDAQ Index using LSTMs and Keras library - Part 1

Forecast NASDAQ Index using LSTMs and Keras library - Part 2

Forecast NASDAQ Index using LSTMs and Keras library - Part 3

Forecast NASDAQ Index using LSTMs and Keras library - Part 4

Forecast NASDAQ Index using LSTMs and Keras library - Part 5

Source Code

Predict New York annual temperature using LSTMs

Predict New York annual temperature using LSTMs - Part 1

Predict New York annual temperature using LSTMs - Part 2

Predict New York annual temperature using LSTMs - Part 3

Predict New York annual temperature using LSTMs - Part 4

Predict Google stock price using LSTMs - Part5

Source Code

Forecast New York wind speed using LSTMs and Keras library

Forecast New York wind speed using LSTMs and Keras library - Part 1

Forecast New York wind speed using LSTMs and Keras library - Part 2

Forecast New York wind speed using LSTMs and Keras library - Part 3

Forecast New York wind speed using LSTMs and Keras library - Part 4

Forecast New York wind speed using LSTMs and Keras library - Part 5

Source Code

Recurrent Neural Networks and LSTMs Quiz


Reviews

T
Tharindu13 July 2019

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 content and very knowledgeable instructor!

S
Sardorbek13 February 2019

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- organized and helpful, and it were those courses which I was looking for.

M
Maruthi13 November 2018

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.


2005068

Udemy ID

11/3/2018

Course created date

6/23/2019

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