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dennybritz.com | ||
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neuralnetworksanddeeplearning.com
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| | | | | [AI summary] The provided text discusses the implementation of a neural network using Theano, focusing on the structure of the network, its layers (FullyConnectedLayer, ConvPoolLayer, SoftmaxLayer), and the training process using stochastic gradient descent (SGD). It also references a paper by C. R. Shu et al. on the application of deep learning in medical image segmentation, particularly in brain tumor detection, and highlights the significance of such advancements in the field of medical imaging and diagnostics. | |
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brandinho.github.io
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| | | | | Reinforcement Learning, Neural Networks, Genetic Algorithm | |
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datadan.io
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| | | | | Linear regression and gradient descent are techniques that form the basis of many other, more complicated, ML/AI techniques (e.g., deep learning models). They are, thus, building blocks that all ML/AI engineers need to understand. | |
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blog.google
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| | | Neural networks can train computers to learn in a way similar to humans. Googler Maithra Raghu explains how they work. | ||
