Updated on 21 April, 2020. LeNet – 5 is a great way to start learning practical approaches of Convolutional Neural Networks and computer vision. The LeNet – 5 architecture was introduced by Yann LeCun, Leon Bottou, Yoshua Bengio and Patrick Haffner in 1998. This architecture quickly became popular for recognizing handwritten digits and document recognition. […] ...

Computer Vision and Deep Learning together have given some novel solutions to many of the real world problems. And automatic traffic sign recognition is one of them. Recognizing traffic signs is one of the most important aspects when considering road safety and automated driving. Manual detection, classification, and hard coding are not possible when visualizing […] ...

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 […] ...

Deep Learning involving images can be a fascinating field to work with. And most probably the project involves working with Convolutional Neural Networks. Whether it is an image classification or image recognition based project, there is always one common factor, a lot of images. And most of the time you need lots of them to […] ...