In the fourth episode we talk about the prevalent Deep Learning Architectures and their Building blocks. We cover how they work mathematically and how they are stacked together to achieve specific tasks.
Terms mentioned:
Matrix Multiplication: https://en.wikipedia.org/wiki/Matrix_multiplication_algorithm
Activation Function: https://en.wikipedia.org/wiki/Activation_function
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