Implementing Simple Neural Network using Keras – With Python Example
Code that accompanies this article can be downloaded here. Back in 2015. Google released TensorFlow, the library that will change the field of Neural Networks and eventually make it mainstream. Not only that TensorFlow became popular for developing Neural Networks, it...
Backpropagation Algorithm in Artificial Neural Networks
In the previous article, we covered the learning process of ANNs using gradient descent. However, in the last few sentences, I’ve mentioned that some rocks were left unturned. Specifically, explanation of the backpropagation algorithm was skipped. Also,...
How do Artificial Neural Networks learn?
This article is a part of Artificial Neural Networks Serial, which you can check out here. In the previous blog posts, we covered some very interesting topics regarding Artificial Neural Networks (ANN). The basic structure of Artificial Neural Networks was presented,...
Common Neural Network Activation Functions
In the previous article, I was talking about what Neural Networks are and how they are trying to imitate biological neural system. Also, the structure of the neuron, smallest building unit of these networks, was presented. Neurons have this simple structure, and one...
Introduction to Artificial Neural Networks
Artificial intelligence (AI) is not a new concept, it is been around for decades, and still, it is much unexplored. Did you know that the first ideas revolving AI can be traced back to the ‘40s? Nevertheless, it is still a field that is in its infancy and a concept...
