Hey guys, in this episode of the podcast I explain what are neural networks and how they work. In the episode I talk about the relationship between our brain and the neural network architecture and also how they are trained, using the famous algorithm of back-propagation. After understanding how neural nets work, I discuss if these "artificial intelligence" algorithm are really intelligent.

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Tensorflow playground: https://playground.tensorflow.org/#activation=tanh&batchSize=10&dataset=circle®Dataset=reg-plane&learningRate=0.03®ularizationRate=0&noise=0&networkShape=4,2&seed=0.24800&showTestData=false&discretize=false&percTrainData=50&x=true&y=true&xTimesY=false&xSquared=false&ySquared=false&cosX=false&sinX=false&cosY=false&sinY=false&collectStats=false&problem=classification&initZero=false&hideText=false