AI
Artificial intelligence: machine learning, neural networks, large language models, deep learning, AI research, and AI tools.
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TensorFlow Lite: Solution for running ML on-device youtube.com
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Introduction to TensorFlow Lite udacity.com
Udacity course by Daniel Situnayake (@dansitu), Paige Bailey (@DynamicWebPaige), and Juan Delgado.
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TensorFlow Hub tfhub.dev
Set "Model format = TFLite" to find TensorFlow Lite models.
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TensorFlow Lite models tensorflow.org
With official Android and iOS examples.
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TensorFlow Lite for Microcontrollers tensorflow.org
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From TensorFlow to ML Kit: Power your Android application with machine learning speakerdeck.com
A talk with Android (Kotlin) sample code.
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Practical Deep Learning for Cloud, Mobile, and Edge practicaldeeplearning.ai
By Anirudh Koul (@AnirudhKoul), Siddha Ganju (@SiddhaGanju), and Meher Kasam (@MeherKasam).
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Why the Future of Machine Learning is Tiny petewarden.com
By Pete Warden.
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The People + AI Guide book pair.withgoogle.com
Learn how to design human-centered AI products.
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Mobile Deep Learning with TensorFlow Lite, ML Kit and Flutter packtpub.com
Build scalable real-world projects to implement end-to-end neural networks on Android and iOS (GitHub) - By Anubhav Singh (@xprilion) and Rimjhim Bhadani (@Rimjhim28).
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YOLOv3 to TensorFlow Lite Conversion medium.com
By Nitin Tiwari.
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Material design guidelines for ML material.io
How to design machine learning powered features. A good example: ML Kit Showcase App.
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AI and Machine Learning for Coders learning.oreilly.com
By Laurence Moroney (@lmoroney).
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AI and Machine Learning On-Device Development learning.oreilly.com
(early access) - By Laurence Moroney (@lmoroney).
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Hexagon delegate github.com
How to use the Hexagon Delegate to speed up model inference on mobile and edge devices. Also see blog post Accelerating TensorFlow Lite on Qualcomm Hexagon DSPs.
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TensorFlow models github.com
Official TensorFlow models.
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Tensorflow detection model zoo github.com
Pre-trained on COCO, KITTI, AVA v2.1, iNaturalist Species datasets.
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The Future of ML is Tiny and Bright edx.org
A series of edX courses created by Harvard in collaboration with Google. Instructors - Vijay Janapa Reddi, Laurence Moroney, and Pete Warden.
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Edge Impulse edgeimpulse.com
Created by @EdgeImpulse to help you to train TensorFlow Lite models for embedded devices in the cloud.
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Device-based Models with TensorFlow Lite coursera.org
Coursera course by Laurence Moroney (@lmoroney).
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On-device training in TensorFlow Lite blog.tensorflow.org
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Optical character recognition with TensorFlow Lite: A new example app blog.tensorflow.org
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What is new in TensorFlow Lite blog.tensorflow.org
By Khanh LeViet.
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How TensorFlow Lite helps you from prototype to product blog.tensorflow.org
By Khanh LeViet.
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TensorFlow Model Optimization Toolkit — float16 quantization halves model size blog.tensorflow.org
By the TensorFlow team.
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Using TensorFlow Lite on Android blog.tensorflow.org
) - By Laurence Moroney.
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Getting Started with ML on MCUs with TensorFlow blog.particle.io
By Brandon Satrom.
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Talking Machine Learning with Hoi Lam anchor.fm
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AI benchmark ai-benchmark.com
A website for benchmarking computer vision models on smartphones.
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Overview of Computer Vision and Visual Effects youtube.com
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Deep Learning for Computer Vision youtube.com
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Continuous Optimization in Computer Vision youtube.com
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3D Computer Vision: Past, Present, and Future youtube.com
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Deep Learning Session 3 youtube.com
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Machine Learning for Computer Vision youtube.com
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The Three R's of Computer Vision youtube.com
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Should I do a PhD in Computer Vision? youtube.com
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Deep Learning Session 1 youtube.com
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Deep Learning Session 2 youtube.com
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Variational Methods for Computer Vision youtube.com
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Machine Learning Summer School youtube.com
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Computer Vision, From 3D Reconstruction to Recognition web.stanford.edu
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How to Write a Computer Vision Paper web.engr.illinois.edu
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Computer vision for dummies visiondummy.com
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Piotr's Computer Vision Matlab Toolbox vision.ucsd.edu
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High-Level Vision: Behaviors, Neurons and Computational Models vision.stanford.edu
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Computer Vision: Foundations and Applications vision.stanford.edu
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Computer Vision 2 vision.rwth-aachen.de
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