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Course overview
Lecture Details
Artificial Neural Networks (ANNs) were pioneered in 1940s, received a lot of hype in the 1950s, were re-discovered in the 1980s with the Backpropagation algorithm, and are now transforming the field of Machine Learning
Curriculum for this course
12 Lessons
00:49:56 Hours
Neural Networks
12 Lessons
00:49:56 Hours
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A 3-minute history
Preview 00:03:32
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machine learning = feature engineering
00:04:58
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axons, dendrites, synapses
00:03:22
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McCulloch & Pitts neuron
00:03:29
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feedforward, recurrent and RBM
00:04:56
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solving XOR with a hidden layer
00:05:53
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universal approximation
00:02:28
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hidden units = features
00:05:44
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derivatives we need for backprop
00:03:07
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Back propagation: how it works
00:06:07
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Backpropagation in detail
00:05:12
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multiclass classification
00:01:08
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