开源的电子书籍：《Getting Things Done with Pytorch》

GitHub 上一本开源的电子书籍：《Getting Things Done with Pytorch》。

开发者可从该书中学到有关 PyTorch、神经网络、图像分类、人脸检测、情感分析等基础知识。

从书中提供的具体示例，还能进一步了解项目从原型开发到模型部署，最后正式上线生产环境的整个流程。

阅读本书
可以使用以下链接阅读整本书。每个部分都包含一份笔记，您都可以在此仓库中找到它。

• Getting Started with PyTorch
• Build Your First Neural Network
• Transfer Learning for Image Classification using Torchvision
• Face Detection on Custom Dataset with Detectron2
• Time Series Forecasting with LSTMs for Daily Coronavirus Cases
• Time Series Anomaly Detection using LSTM Autoencoders
• Create Dataset for Sentiment Analysis by Scraping Google Play App Reviews
• Sentiment Analysis with BERT and Transformers by Hugging Face
• Deploy BERT for Sentiment Analysis as REST API using FastAPI
• Object Detection on Custom Dataset with YOLO (v5)