Exploring Cs568 Deep Learning Regularization Part 1 Spring 2020
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- Batch Normalization http://faculty.pucit.edu.pk/nazarkhan/teaching/
- Batchnorm at testing time. Is Batchnorm legit? http://faculty.pucit.edu.pk/nazarkhan/teaching/
- Sebastian's books: https://sebastianraschka.com/books The lecture slides are available at: ...
- Convolution Dot product Neuron as a detector of its weights Building blocks of a CNN ...
- Speaker:
In-Depth Information on Cs568 Deep Learning Regularization Part 1 Spring 2020
Capabilities of polynomials Restriction of coefficients reduces representational power Everything is noisy Overfitting and ... Early Stopping Data Augmentation Label Smoothing Dropout ... Static vs dynamic signals Temporal, sequential and time-series data Folding in space Folding in time Unfolding in time Recurrent ... Problems with gradient descent Resilient propagation (Rprop) Taylor series approximation Newton's Method for finding stationary ...
Primer on ML 00:00:00 Powers of polynomials 00:04:50 Everything is noisy 00:05:05 Overfitting vs. Generalization
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