Get SH*T Done with PyTorch: Solve Real-World Machine Learning Problems with Deep Neural Networks in Python
by Venelin Valkov
pages 页数: 196 pages
Edition 版本: 1
Language 语言: English
Publication Date 出版日期: 2020-05-25
The Book Description robot was collected from Amazon and arranged by Finelybook
PyTorch is the best Deep Learning library there (currently) is, period! Doing ML with PyTorch feels like a superpower (of course, there are bad parts, too). Trust me, I have a book on TensorFlow and Keras! This opinion comes from my real-world experience, as a Machine Learning Engineer, and writer of numerous Machine Learning and Deep Learning tutorials.
This book skips the bull and goes straight into solving real-world problems. There is some theory, only where you need to connect the dots. You’ll go from the basics of using PyTorch to solving Computer Vision, Natural Language, and Time Series problems with complete source code and runnable Jupyter notebooks.
The examples are compatible with the latest versions of PyTorch and Torchvision.
Here’s what you’ll learn from this book:
Getting Started with PyTorch
Build Your First Neural Network with PyTorch
Transfer Learning for Image Classification using Torchvision
Time Series Forecasting with LSTMs for Daily Coronavirus Cases
Time Series Anomaly Detection using LSTM Autoencoders
Face Detection on Custom Dataset with Detectron2
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
Get SHT Done with PyTorch B0895YQYFC.zip