deep – Learning Center

Machine Learning

tinyML Asia 2021 Yihong Wu: Lightweight visual localization with deep learning

January 18, 2022 tinyML 0 Comments Asia, deep, Learning, Lightweight, localization, tinyml, visual, Yihong

tinyML Asia 2021 Lightweight visual localization with deep learning Yihong WU, Professor, National Laboratory of Pattern Recognition, Institute of Automation,

Embedded Deep Learning

December 19, 2021 admin 0 Comments arduino, deep, Embedded, Learning

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State-of-the-Art Deep Learning Models in TensorFlow: Modern Machine Learning in the Google Colab Ecosystem

December 16, 2021 admin 0 Comments Colab, deep, Ecosystem, Google, Learning, Machine, models, Modern, stateoftheart, TensorFlow

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Machine Learning

Proceedings of International Conference on Deep Learning, Computing and Intelligence: ICDCI 2021 (Advances in Intelligent Systems and Computing, 1396)

December 12, 2021 admin 0 Comments Advances, Computing, Conference, deep, ICDCI, Intelligence, Intelligent, International, Learning, Proceedings, Systems

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Grokking Deep Learning

December 11, 2021 admin 0 Comments deep, Grokking, Learning

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Machine Learning

tinyML Asia 2021 Song Han: Putting AI on a Diet: TinyML and Efficient Deep Learning

December 11, 2021 tinyML 0 Comments Asia, deep, Diet, efficient, Han, Learning, Putting, Song, tinyml

tinyML Asia 2021 Plenary Talk: Putting AI on a Diet: TinyML and Efficient Deep Learning Song HAN, Assistant Professor, MIT

Deep Learning for Remote Sensing Images with Open Source Software (Signal and Image Processing of Earth Observations)

December 5, 2021 admin 0 Comments deep, earth, image, images, Learning, Observations, open, processing, remote, Sensing, signal, Software, source

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Hands-On One-shot Learning with Python: Learn to implement fast and accurate deep learning models with fewer training samples using PyTorch

November 28, 2021 admin 0 Comments accurate, deep, fast, HandsOn, Implement, Learn, Learning, models, Oneshot, Python, pytorch, Samples, Training

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Deep Reinforcement Learning Hands-On: Apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more

November 25, 2021 admin 0 Comments AlphaGo, apply, deep, gradients, HandsOn, iteration, Learning, methods, Modern, policy, Qnetworks, Reinforcement, TRPO

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Machine Learning

tinyML Asia 2021 Yunxin Liu: Efficient on-device deep learning

November 25, 2021 tinyML 0 Comments Asia, deep, efficient, Learning, Liu, OnDevice, tinyml, Yunxin

tinyML Asia 2021 “Efficient on-device deep learning” Yunxin LIU , Guoqiang Professor at Institute for AI Industry Research (AIR), Tsinghua

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