From 27455fab77a4d89120e6e202066795e3e768cdfc Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Stjepan=20Jurekovi=C4=87?= Date: Thu, 18 Jan 2024 14:21:13 +0100 Subject: [PATCH] Added Deep Learning with PyTorch, Second Edition Hi, Stjepan here from Manning. You already have the first edition on your list, so I thought this title might be a good match as well. Thank you for considering it. Best, --- README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/README.md b/README.md index b4a80f2..fa07cd7 100644 --- a/README.md +++ b/README.md @@ -357,6 +357,7 @@ Demonstration of training a small ResNet on CIFAR10 to 94% test accuracy in 79 s 70. [Serverless Machine Learning in Action with PyTorch and AWS](https://www.manning.com/books/serverless-machine-learning-in-action): Serverless Machine Learning in Action is a guide to bringing your experimental PyTorch machine learning code to production using serverless capabilities from major cloud providers like AWS, Azure, or GCP. 71. [LabML NN](https://github.com/lab-ml/nn): A collection of PyTorch implementations of neural networks architectures and algorithms with side-by-side notes. 72. [Run your PyTorch Example Fedarated with Flower](https://github.com/adap/flower/tree/main/examples/pytorch_from_centralized_to_federated): This example demonstrates how an already existing centralized PyTorch machine learning project can be federated with Flower. A Cifar-10 dataset is used together with a convolutional neural network (CNN). +73. [Deep Learning with PyTorch, Second Edition](https://www.manning.com/books/deep-learning-with-pytorch-second-edition): A hands-on guide to modern machine learning with PyTorch. ## Paper implementations