Our resident data scientist explains how to train neural networks with two popular variations of the back-propagation technique: batch and online. Training a neural network is the process of ...

Neural network dropout is a technique that can be used during training. It is designed to reduce the likelihood of model overfitting. You can think of a neural network as a complex math equation that ...

Find out what makes Python a versatile powerhouse for modern software development—from data science to machine learning, systems automation, web and API development, and more. It may seem odd to ...

Implement Neural Network in Python from Scratch ! In this video, we will implement MultClass Classification with Softmax by ...

We will create a Deep Neural Network python from scratch. We are not going to use Tensorflow or any built-in model to write ...