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
Ratings 3.84 / 5.00
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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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 Should Attend!
- Anyone who wants to make the right choice when starting to learn Multilayer Perceptron Neural Network
- Anyone who wants to learn Keras
- Anyone who wants to learn Recurrent Neural Networks and LSTMs
- Anyone who want to forecast stock market time series.
- 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
Tags
- Artificial Intelligence
- Neural Networks
Subscribers
2114
Lectures
46
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