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Convolutional Neural Networks
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cnn.md

Convolutional Neural Networks

https://en.wikipedia.org/wiki/Convolutional_neural_network

In deep learning, a convolutional neural network (CNN, or ConvNet) is a class of deep neural networks, most commonly applied to analyzing visual imagery. They are also known as shift invariant or space invariant artificial neural networks (SIANN), based on their shared-weights architecture and translation invariance characteristics.[1][2] They have applications in image and video recognition, recommender systems, image classification, medical image analysis, natural language processing, and financial time series.

  1. Convolutional Neural Networks in Python with Keras, by Aditya Sharma, 2017/12.
  2. Convolutional Neural Networks for Beginners, Practical Guide with Python and Keras, by Jordi TORRES.AI, 2018/09.
  3. Convolutional Neural Networks: A Python Tutorial Using TensorFlow and Keras, by Luciano Strika, 2019/07.
  4. Convolutional Neural Networks, LeNet

YouTube Videos

  1. Clasificar imágenes usando redes convolucionales (tutorial de Keras), 2019/04
  2. codigo fuente
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