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Chun-kit Ho

ML Paper Challenge Day 40 — Generative Adversarial Nets

Day 40: 2020.05.23 Paper: Generative Adversarial Nets Category: Model/Unsupervised Learning

May 23, 2020

ML Paper Challenge Day 40 — Generative Adversarial Nets

May 23, 2020

ML Paper Challenge Day 38, 39 — Auto-Encoding Variational Bayes

Day 38–39: 2020.05.19–20 Paper: Auto-Encoding Variational Bayes Category: Model/Unsupervised Learning

May 20, 2020

ML Paper Challenge Day 38, 39 — Auto-Encoding Variational Bayes

May 20, 2020

ML Paper Challenge Day 36, 37— Building high-level features using large scale unsupervised learning

Day 36: 2020.05.17–18 Paper: Building high-level features using large scale unsupervised learning Category: Model/Unsupervised Learning

May 18, 2020

ML Paper Challenge Day 36, 37— Building high-level features using large scale unsupervised learning

May 18, 2020

ML Paper Challenge Day 34, 35 — SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and…

Day 34–35: 2020.05.15–16 Paper: SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size Category…

May 17, 2020

ML Paper Challenge Day 34, 35 — SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and…

May 17, 2020

ML Paper Challenge Day 33 — Deep Compression: Compressing Deep Neural Network with Pruning…

Day 33: 2020.05.14 Paper: Deep Compression: Compressing Deep Neural Network with Pruning, Trained Quantization and Huffman Coding Category…

May 14, 2020

ML Paper Challenge Day 33 — Deep Compression: Compressing Deep Neural Network with Pruning…

May 14, 2020

ML Paper Challenge Day 31,32 — Learning to learn by gradient descent by gradient descent

Day 31–32: 2020.05.12–13 Paper: Learning to learn by gradient descent by gradient descent Category: Model/Optimization

May 13, 2020

ML Paper Challenge Day 31,32 — Learning to learn by gradient descent by gradient descent

May 13, 2020

ML Paper Challenge Day 29, 30 — Adam: A Method for Stochastic Optimization

Day 29–30: 2020.05.10–11 Paper: Adam: A Method for Stochastic Optimization Category: Model/Optimization

May 11, 2020

ML Paper Challenge Day 29, 30 — Adam: A Method for Stochastic Optimization

May 11, 2020

ML Paper Challenge Day 28 — On the importance of initialization and momentum in deep learning

Day 28: 2020.05.09 Paper: On the importance of initialization and momentum in deep learning Category: Model/Deep Learning/Optimization

May 10, 2020

ML Paper Challenge Day 28 — On the importance of initialization and momentum in deep learning

May 10, 2020

ML Paper Challenge Day 27 — Network Morphism

Day 27: 2020.05.08 Paper: Network Morphism Category: Model/Deep Learning/Technique

May 8, 2020

ML Paper Challenge Day 27 — Network Morphism

May 8, 2020

ML Paper Challenge Day 26 — Net2Net: Accelerating Learning via Knowledge Transfer

Day 26: 2020.05.07 Paper: Net2Net: Accelerating Learning via Knowledge Transfer Category: Model/Deep Learning/Technique

May 8, 2020

ML Paper Challenge Day 26 — Net2Net: Accelerating Learning via Knowledge Transfer

May 8, 2020

Chun-kit Ho

Chun-kit Ho

cloud architect@ey | full-stack software engineer | social innovation | certified professional solutions architect in aws & gcp

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