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목록Deep Learning (3)
How much am I expressed through the data
https://towardsdatascience.com/how-to-train-your-deep-learning-models-in-a-distributed-fashion-43a6f53f0484 How to train your deep learning models in a distributed fashion. Deep learning algorithms are well suited for large data sets and also training deep learning networks needs large computation power. With GPUs / TPUs easily available on pay per use basis or for free… towardsdatascience.com
https://www.youtube.com/watch?v=uqomO_BZ44g&ab_channel=WhenMathsMeetCoding
https://en.wikipedia.org/wiki/Residual_neural_network Residual neural network - Wikipedia Canonical form of a residual neural network. A layer ℓ − 1 is skipped over activation from ℓ − 2. A residual neural network (ResNet) is an artificial neural network (ANN) of a kind that builds on constructs known from pyramidal cells in the c en.wikipedia.org Training Residual Neural Network with your own d..