This video introduces the basics of the backpropagation algorithm.
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This video introduces the topics of activation functions, loss, and the idea of gradient descent.
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Read the Transcript (Summer 2020) at:LMETowards Data Science
This video introduces the topic of feedforward networks, universal approximation, and how to map a decision tree onto a neural network.
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Read the Transcript (Summer 2020) at:LMETowards Data Science
This video introduces the topic of Deep Learning and presents the course's requirements, grading procedures, and summarises the first unit.
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This video introduces the topic of Deep Learning by defining the course's notation, introducing fundamental principles of Pattern Recognition, and a short review of the perceptron.
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Read the Transcript (Summer 2020) at:LMETowards Data Science