Tag: Artificial Neural Networks

In this post, we are going to learn about the Keras Sequential Model and how to use it to build our own deep neural network. If you are following this tutorial series, then this is going to be your first major step in deep learning with Keras. We will be using Keras deep learning to […] ...

Keras makes approaching deep learning easy, especially for those who are just starting out. In this article, we will learn some of the most important features and functions of Keras along with the Sequential API. This is the second part of the series Introduction to Keras Deep Learning.Part 1: Getting Started with Keras.Part 2: Learning about […] ...

Convolutional Neural Networks (CNN) have a come a long way in recent years. CNNs have been really beneficial for the field of deep learning for computer vision and image processing. In this article, we will be analyzing the common architectures of CNN. We will also be discussing the variants of CNN that have provided the […] ...

Training Deep Neural Networks is time-consuming and difficult. Batch Normalization is a technique that can help to speed up the training of neural networks. In this article, you will get to know what Batch Normalization is and how it helps in training of deep neural networks. Difficulty in Training Deep Neural Networks Training very deep […] ...

In neural networks, the backpropagation algorithm is important to train the network. But it also raises another problem. That is the problem of vanishing gradients. In this article, we are going to dive into the topic of vanishing gradients in neural networks and why it is a problem while training. A Bit About Backpropagation The […] ...