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)
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