Visit Our Parent Company EarthOne ➤ https://earthone.io/ [Interactive Number Recognizer] https://adamharley.com/nn_vis/ 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 Become A Member & Help Us Grow ➤ https://subscribe.futurology.earthone.io/member Learn More About Us Here ➤ https://futurology.earthone.io Join Our Discord ➤ https://subscribe.futurology.earthone.io/discord Soundtrack ➤ ♫ 00;00 "Clair de Lune" by RELAYER ♫ 00;37 "Sun" by HOME ♫ 03;04 "Flood" by HOME ♫ 06;20 "Hold" by HOME ♫ 09;39 "Resonance" by HOME ♫ 10;04 "June" by Aire Atlantica 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 Follow The Producers Social Media Accounts ➤ https://twitter.com/enchorb http://www.snapchat.com/add/enchorb http://www.instagram.com/enchorb