ResNet Architecture and Residual Block Explained - Neural Networks and Deep Learning

In this Neural Networks and Deep Learning Tutorial, we will talk about the ResNet Architecture. Residual Neural Networks are often used to solve computer vision problems and consist of several residual blocks. We will walk about what a residual block is and compare it to the architecture of a standard convolutional neural network. I’ll show you how you can use the pre-trained ResNets from Keras and TensorFlow. Join this channel to get access to exclusive perks: Join the public Discord chat here: GitHub: I’ll be doing other tutorials alongside this one, where we are going to use C for Algorithms and Data Structures, Artificial Intelligence, and Computer Vision with OpenCV. The purpose of this tutorial and channel is to build an online coding library where different programming languages and computer science topics are stored in the YouTube cloud in one place. Feel free to comm