Neural Networks, Manifolds, and Topology -- colah's blog
Recently, there’s been a great deal of excitement and interest in deep neural networks because they’ve achieved breakthrough results in areas such as computer vision.1
Neural Networks, Manifolds, and Topology -- colah's blog Neural Networks, Manifolds, and Topology Posted on April 6, 2014 topology, neural networks, deep learning, manifold hypothesis Recently, there’s been a great deal of excitement and interest in deep neural networks because they’ve achieved breakthrough results in areas such as computer vision. 1 However, there remain a number of concerns about them. One is that it can be quite challenging to understand what a neural network is really doing. If one trains it well, it achieves high quality results, but it is challenging to understand how it
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related reading
- Toy Models of Superpositiontransformer-circuits.pub
- The World Inside Neural Networksgoodfire.ai
- Deep Learning is Applied Topologytheahura.substack.com
- Zoom In: An Introduction to Circuitsdistill.pub
- Neural Networks, Types, and Functional Programming -- colah's blogcolah.github.io
- Neural networks and deep learningneuralnetworksanddeeplearning.com
- Feature Visualizationdistill.pub
- Home - colah's blogcolah.github.io
- A Recipe for Training Neural Networkskarpathy.github.io
- Visualizing Neural Networks with the Grand Tourdistill.pub
- Understanding deep learning requires rethinking generalizationarxiv.org
- 1412.0233arxiv.org