- How do I build my own dataset for machine learning? https://www.cs.toronto.edu/~kriz/cifar.html 6 comments learnmachinelearning
Linking pages
- Why Adversarial Image Attacks Are No Joke - Unite.AI https://www.unite.ai/why-adversarial-image-attacks-are-no-joke/ 186 comments
- Deep Learning Pioneer Geoffrey Hinton Publishes New Deep Learning Algorithm https://www.infoq.com/news/2023/01/hinton-forward-algorithm/ 122 comments
- No, We Don't Have to Choose Batch Sizes As Powers Of 2 https://sebastianraschka.com/blog/2022/batch-size-2.html 93 comments
- GitHub - Hyperparticle/one-pixel-attack-keras: Keras implementation of "One pixel attack for fooling deep neural networks" using differential evolution on Cifar10 and ImageNet https://github.com/Hyperparticle/one-pixel-attack-keras 81 comments
- Infrastructure for Deep Learning https://openai.com/blog/infrastructure-for-deep-learning/ 67 comments
- Generative Models https://openai.com/blog/generative-models/ 60 comments
- Scaling down Deep Learning https://greydanus.github.io/2020/12/01/scaling-down/ 52 comments
- When Conventional Wisdom Fails: Revisiting Data Augmentation for Self-Driving Cars | by Matt Cooper | Towards Data Science https://towardsdatascience.com/when-conventional-wisdom-fails-revisiting-data-augmentation-for-self-driving-cars-4831998c5509 36 comments
- A New Lens on Understanding Generalization in Deep Learning – Google AI Blog https://ai.googleblog.com/2021/03/a-new-lens-on-understanding.html 35 comments
- GitHub - C-Naoki/image-stitcher: This is a python implementation for stitching images by automatically searching for overlap region. https://github.com/C-Naoki/image-stitcher 31 comments
- Region of interest pooling explained https://deepsense.ai/region-of-interest-pooling-explained/ 28 comments
- 70+ Machine Learning Datasets & Project Ideas – Work on real-time Data Science projects - DataFlair https://googleweblight.com/i?u=https%3A%2F%2Fdata-flair.training%2Fblogs%2Fmachine-learning-datasets%2F 23 comments
- GitHub - astorfi/Deep-Learning-Roadmap: Organized Resources for Deep Learning Researchers and Developers https://github.com/astorfi/Deep-Learning-World 22 comments
- Do Wide and Deep Networks Learn the Same Things? – Google AI Blog https://ai.googleblog.com/2021/05/do-wide-and-deep-networks-learn-same.html 22 comments
- 23 Amazing Deep Learning Project Ideas [Source Code Included] - DataFlair https://data-flair.training/blogs/deep-learning-project-ideas/ 19 comments
- GitHub - andrewgordonwilson/bayesgan: Tensorflow code for the Bayesian GAN (https://arxiv.org/abs/1705.09558) (NIPS 2017) https://github.com/andrewgordonwilson/bayesgan/ 18 comments
- Machine Learning is Fun! Part 3: Deep Learning and Convolutional Neural Networks | by Adam Geitgey | Medium https://medium.com/@ageitgey/machine-learning-is-fun-part-3-deep-learning-and-convolutional-neural-networks-f40359318721#.m77iqtjqu 18 comments
- Hypernetworks | 大トロ http://blog.otoro.net/2016/09/28/hyper-networks/ 17 comments
- Introducing AdaNet: Fast and Flexible AutoML with Learning Guarantees – Google AI Blog https://ai.googleblog.com/2018/10/introducing-adanet-fast-and-flexible.html 16 comments
- Generative Models https://blog.openai.com/generative-models/ 15 comments
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