author: amita kapoor

This book is also for you if you want to build end-to-end projects in the machine learning domain using supervised, unsupervised, and reinforcement learning techniques

Take the next step in implementing various common and not-so-common neural networks with Tensorflow 1.x About This Book Skill up and implement tricky neural networks using Google's TensorFlow 1.x An easy-to-follow guide that lets you ...

This book also introduces neural networks with TensorFlow, runs through the main applications (regression, ConvNets (CNNs), GANs, RNNs, NLP), covers two working example apps, and then dives into TF in production, TF mobile, and using ...

... foolbox import PyTorchModel , accuracy , samples import foolbox.attacks as fa import numpy as np After doing the necessary imports , let's trigger the attack as follows : models.resnet18 ( pretrained = True ) .eval ( ) model ...

... ruder.io/optimizing-gradientdescent/index.html#gradientdescentoptimizationalgorithms) by Sebastian Ruder based on his arXiv paper at https://arxiv.org/abs/ 1609.04747. Newton-Raphson method This method is based on the second order. [142 ] ...