Let's go over some of the powerful Convolutional Neural Network which are revolutionizing the current era of computer vision - MobileNets, ResNeXt, SqueezeNet and DenseNet
Before going to Part 2 of the Famous Convolutional Neural Network Architectures series we need to go over some interesting variants of Convolution Operations! We will going over - Simple Convolutions, 1x1 Convs, Depth-Wise Separable Convolutions and Transposed Convolutions
Let's go over some of the powerful Convolutional Neural Network which laid the foundation of today's Computer Vision achievements, achieved using Deep Learning - LeNet, AlexNet, VGGNet, GoogleNet and ResNet
In this post, we will go a little into the nuts and bolts of what are Convolutional Neural Networks used in the last post. I'll also be addressing some concepts that I just introduced in the last post.
There has been major breakthroughs in the field of Artificial Intelligence and automation in recent years. We use these sophisticated tools in unsophisticated ways to achieve what might have felt impossible few years ago. Major examples of these advances include FaceID introduced in the new Apple iPhone X, Google Translate and don't forget Netflix's super cool recommendations