Convolutional Neural Networks Explained (CNN Visualized)

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Throughout this deep learning series, we have gone from the origins of the field and how the structure of the artificial neural network was conceived, to working through an intuitive example covering the main aspects and some of the many complexities of deep learning.

Now all these videos have only been focused on one type of neural network, the feed-forward network. The focus of this video then will be to initiate discussion on another very popular and important neural network architecture – the convolutional neural network!

00:00 Intro
00:36 Convolutional Neural Networks Explained

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♫ 00;00 "Clair de Lune" by RELAYER
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Sources ➤

[1]https://www.youtube.com/watch?v=py5byOOHZM8 (Neural Network That Changes Everything – Computerphile)
[2]https://www.youtube.com/watch?v=BFdMrDOx_CM (Inside A Neural Network – Computerphile)
[3]https://www.youtube.com/watch?v=YRhxdVk_sIs (Convolutional Neural Networks [CNNs] Explained – Deeplizard)
[4]https://ujjwalkarn.me/2016/08/11/intuitive-explanation-convnets/
[5]https://towardsdatascience.com/intuitively-understanding-convolutions-for-deep-learning-1f6f42faee1
[6]https://towardsdatascience.com/gentle-dive-into-math-behind-convolutional-neural-networks-79a07dd44cf9
[7]https://towardsdatascience.com/types-of-convolutions-in-deep-learning-717013397f4d
[8]https://www.youtube.com/watch?v=WCUNPb-5EYI (Recurrent Neural Networks [RNN] & Long Short-Term Memory [LSTM] – Brandon Rohrer)
[9]https://towardsdatascience.com/the-mostly-complete-chart-of-neural-networks-explained-3fb6f2367464
[10]https://www.youtube.com/watch?v=9zKuYvjFFS8 (Variational Autoencoders – Arxiv Insights)
[11]https://www.cs.cmu.edu/~aharley/

Producer ➤ Ankur Bargotra

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