It's a good lecture. Especially, after explaining the theory, it's great for understanding the flow by implementing it from the bottom up with TensorFlow code and Python code. I hope the error backpropagation lecture comes up soon.

root2yaja4362

This lecture covers the calculations that deep learning networks perform to produce output.

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[Deep Learning Expert Course DL1301] Operation of Deep Learning Network

입문

초급

중급이상

Deep Learning(DL)

Artificial Neural Network

텐서플로

Tensorflow

Introduction to the Course

Artificial Neurons

Dense Layers

Sigmoid and Softmax

Loss Functions

Convolutional Layers

Pooling Layers

Convolutional Neural Networks