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I have read 5 articles that have worked on Network of Experts, and I want to share some important part of this papers that I've found it super cool.

There are 3 types of Neural Nework Types that you should know about them if you want to start working in the area of machine learning. Let's review them one be one.

The differences between Recursive Neural network and Recurrent Neural network.

Artificial neural networks are computational models which work similar to the functioning of a human nervous system. There are several kinds of artificial neural networks. These type of networks are implemented based on the mathematical operations and a set of parameters required to determine the output. Lets look at some of the neural networks:

I’m going to show all steps from installing Anaconda and upgrading packages to building Docker image and publishing it on Docker hub.

You can run the image of Tensorflow and Jupyter as well on Docker simply and fast.

An Artificial Neural Network (ANN) is a computational model that is inspired by the way biological neural networks in the human brain process information. Artificial Neural Networks have generated a lot of excitement in Machine Learning research and industry, thanks to many breakthrough results in speech recognition, computer vision and text processing.