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distill.pub | ||
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www.3blue1brown.com
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| | | | | An overview of gradient descent in the context of neural networks. This is a method used widely throughout machine learning for optimizing how a computer performs on certain tasks. | |
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cprimozic.net
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| | | | | Introduces a browser-based sandbox for building, training, visualizing, and experimenting with neural networks. Includes background information on the tool, usage information, technical implementation details, and a collection of observations and findings from using it myself. | |
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colah.github.io
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| | | | | [AI summary] The text explores the power of deep learning through the lens of representation. It highlights how neural networks can automatically learn effective representations of data, which is key to their success. The discussion covers topics like word embeddings, bilingual embeddings, and recursive neural networks, showing how these models can capture semantic relationships and represent complex structures. The text also touches on criticisms and the importance of representation-focused approaches in deep learning, concluding with a call to explore deeper connections between deep learning, type theory, and functional programming. | |
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dennybritz.com
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| | | This the thirdpart of the Recurrent Neural Network Tutorial. | ||
