Laborde, Gant
Learning Tensorflow.js: Powerful Machine Learning in JavaScript
- ISBN 13:
- 9781492090793
- author:
- Laborde, Gant
- format:
- Paperback / softback
- publisher:
- O'Reilly Media
- language:
- English
- Publication Year:
- 2021
- Pages:
- 300
- Dimensions:
- 23.3 x 17.8 centimetres (0.43 kg
- Genre:
- Computers, Artificial Intelligence, Computers,
- Condition:
- New
- Availability:
- Item usually sent within 10 working days
Description
Building Production-Ready Deep Learning Systems with TensorFlow.js Gant Laborde's comprehensive guide to TensorFlow.js provides a hands-on approach to machine learning fundamentals for a broad technical audience. Learn how to build and deploy production-ready deep learning systems using this Google framework. You'll start by working through basic examples in TensorFlow.js, then dive deeper into neural network architectures, DataFrames, TensorFlow Hub, model conversion, transfer learning, and more. By the end of this book, you'll know how to convert data into tensors, combine AI with the web, use resources to train and manage machine learning data, and build your own training models from scratch. With TensorFlow.js, seasoned AI veterans and web developers can help propel the future of AI-driven websites. This guide is ideal for data scientists, engineers, web developers, students, and researchers looking to get started with machine learning in JavaScript.
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