AI and machine learning for coders a programmer's guide to artificial intelligence
If you’re looking to make a career move from programmer to AI specialist, this is the ideal place to start. Based on Laurence Moroney's extremely successful AI courses, this introductory book provides a hands-on, code-first approach to help you build confidence while you learn key topics. You’l...
| Other Authors: | |
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| Format: | eBook |
| Language: | Inglés |
| Published: |
Sebastopol, California :
O'Reilly Media, Incorporated
[2020]
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| Edition: | 1st edition |
| Subjects: | |
| See on Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009631553406719 |
Table of Contents:
- Building models. Introduction to TensorFlow
- Introduction to computer vision
- Going beyond the basics: detecting features in images
- Using public datasets with TensorFlow datasets
- Introduction to natural language processing
- Making sentiment programmable using embeddings
- Recurrent neural networks for natural language processing
- Using TensorFlow to create text
- Understanding sequence and time series data
- Creating ML models to predict sequences
- Using convolutional and recurrent methods for sequence models
- Using models. An introduction to TensorFlow Lite
- Using TensorFlow Lite in Android apps
- Using TensorFlow Lite in iOS apps
- An introduction to TensorFlow.js
- Coding techniques for computer vision in TensorFlow.js
- Reusing and converting Python models to JavaScript
- Transfer learning in JavaScript
- Deployment with TensorFlow serving
- AI ethics, fairness and privacy.
