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TensorFlow.js

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May 1, 2024 4 minute read
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TensorFlow.js is a JavaScript library for developing and training machine learning models in the browser or on Node.js. It enables developers to build and deploy machine learning applications without having to worry about the underlying infrastructure or complex math. TensorFlow.js is part of the TensorFlow family of tools and frameworks, which are widely used in the industry for machine learning and deep learning.

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We've selected four books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in TensorFlow.js.
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Machine Learning With Go
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Introduces natural language processing with TensorFlow.js, covering tasks like text classification, text generation, and machine translation.
Machine Learning With Go
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Machine Learning With Go
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Intelligent active vision systems for robots
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Dives into computer vision using TensorFlow.js, covering topics like object detection, image segmentation, and facial recognition.
Intelligent active vision systems for robots
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Intelligent active vision systems for robots
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TinyML Cookbook
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Is tailored for data scientists who want to leverage TensorFlow.js for data analysis and machine learning tasks.
TinyML Cookbook - Second Edition: Combine machine...
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TinyML Cookbook: Combine artificial intelligence...
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TinyML Cookbook: Combine machine learning with...
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TinyML Cookbook: Combine artificial intelligence...
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Fundamentals of Deep Learning
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Is designed for web developers who want to integrate machine learning into their web applications using TensorFlow.js.
Fundamentals of Deep Learning: Designing Next...
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Related topics
Data Science
Machine Learning
Deep Learning
Neural Networks
Python
JavaScript
Artificial Intelligence
Big Data
Cloud Computing
Web Development
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