Description
Why this package?
Artificial Neural Networks are a simple model from the neural system in the human brain, which have many applications in science and engineering. The most important features of ANN are great capabilities as well as simplicity.
Currently, deep learning models find many applications and are one of the hot topics, so learning of deep learning is one of the necessary things for everyone.
There are many learning resources for deep learning, but most of them are theory-based, and they do not focus on the application side of deep learning.
In this tutorial package, you will learn how to implement and run MATLAB code for different applications. There are many examples in each section for you, to learn better.
We start with basics and continue to advanced, so you will learn step-by-step and you will have the best result.
This package is the result of many years of experience in different deep learning projects.
Common error :
Most of the beginners in MATLAB and deep learning face many errors, when they run or develop code. In this tutorial, we will describe the most common error in the deep learning toolbox of MATLAB.
Many examples :
We collect many examples for you that you can find all of them in any book or learning resource.
Who can use this package:
Everyone that would like to implement code or project in MATLAB
Contents :
Basic of deep learning
MATLAB coding for Artificial Neural Network (ANN)
Modelling by ANN
Classification by ANN
ANN for Prediction
ANN in Image processing
Long Short-Term Memory Networks
Pretrained Models
Transfer Learning
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