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Deep learning regularization: Prevent overfitting effectively explained
Regularization in Deep Learning is very important to overcome overfitting. When your training accuracy is very high, but test ...
Researchers are devising technologies that help analyze and enhance human movement and performance.
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Neural networks explained: Forward and backward propagation simplified
In this video, we will understand forward propagation and backward propagation. Forward propagation and backward propagation ...
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