Tag: Neural Networks

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 […] ...

Updated: April 8, 2020. You must have come across numerous tutorials to distinguish between cats and dogs using deep learning. Well, then this tutorial is going to be a bit different and a whole lot interesting. In this article, we too will be using deep learning with Keras and TensorFlow for image classification. But with […] ...

Convolutional Neural Network (CNN for short) is perhaps the most widely used deep learning model when it comes to computer vision application. In this article, you will get to know about the basic working principle of convolutional neural networks. The Building Block of a CNN Convolutional Neural Networks are pretty widely used nowadays for image-classification […] ...

Many of the times, after building a model we tend to visualize the accuracy and validation plots manually with Matplotlib (or any other) visualization library. But there is a better way to do it. We can easily visualize the plots using TensorBoard which provides a beautiful and interactive environment by default. In this article, you […] ...

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 […] ...