本书包含有关 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。

Github地址：https://github.com/curiousily/Getting-Things-Done-with-Pytorch

Get SH*T Done with PyTorch

Learn how to solve real-world problems with Deep Learning models (NLP, Computer Vision, and Time Series). Go from prototyping to deployment with PyTorch and Python!

Read the book here

📖 Read for FREE

The whole book can be read using the links below. Each part contains a notebook that you can find in this repository.

• 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)

Consider buying the book if you want to support my work. Thanks for stopping by! 🤗