Introduction to Neural Networks Introduction As per Wikipedia “Neural network is a network or circuit of neurons, composed of artificial neurons or nodes.” A Neural Network in case of Artificial Neurons is called Artificial Neural Network, can also be called as Simulated Neural Network. Artificial neural network is a network which can solve Artificial intelligence problems. Neural Networks are Decision Making Tools, which can be used to model complex relationships between input and output. Types of Neural Networks: Feed Forward Neural Network Radial Basis Function Neural Network Kohonen Self Organizing Neural Network Recurrent Neural Network Convolution Neural Network Modular Neural…

### Hidden Layers in Neural Networks

Hidden Layers in Neural Networks What Are Hidden Layers? The Hidden Layers is the important topic to understand when we are working with Machine Learning models. Particularly in this topic we concentrate on the Hidden Layers of a neural network layer. Neural Network Layers: The layer is a group, where number of neurons together and the layer is used for the holding a collection of neurons. Simply we can say that the layer is a container of neurons. In these layers there will always be an input and output layers and we have zero or more number of hidden layers….

### Back Propagation and Computational Graphs in Neural Networks

Back Propagation and Computational Graphs in Neural Networks Back Propagation: In Deep Learning , you are definitely heard about the back propagation at least once. In this article I am going to explain about the Back propagation. Before this , I would recommend to you read about the Gradient Descent optimization in this link. https://www.i2tutorials.com/technology/gradient-descent-stochastic-gradient-descent/ The entire process of deep learning training may be summarized into following steps. Data Analysis and Data Exploration. Based on our Data Analysis information we have to build a framework such as TensorFlow , PyTorch etc. Now choose the best appropriate cost function…