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You are here		distill.pub Multimodal Neurons in Artificial Neural Networks
|	|	algobeans.com Convolutional Neural Networks (CNN) Introduction - Algobeans	5.8 parsecs away Travel
|	|	While an artificial neural network could learn to recognize a cat on the left, it would not recognize the same cat if it appeared on the right. To solve this problem, we introduce convolutional neural networks.
|	|	neuralnetworksanddeeplearning.com Neural networks and deep learning	5.8 parsecs away Travel
|	|	[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.
|	|	colah.github.io Conv Nets: A Modular Perspective - colah's blog	3.9 parsecs away Travel
|	|	[AI summary] This article explains the architecture, mathematical formulation, and major breakthroughs of convolutional neural networks in the context of computer vision and pattern recognition.
|	|	dennybritz.com Recurrent Neural Networks Tutorial, Part 1 - Introduction to RNNs · Denny's Blog	12.7 parsecs away Travel
|		Recurrent Neural Networks (RNNs) are popular models that have shown great promise in manyNLP tasks.

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