Cs568 Deep Learning Regularization Part 1 Spring 2020

Summary

Capabilities of polynomials Restriction of coefficients reduces representational power Everything is noisy Overfitting and ... Ridge Regression is a neat little way to ensure you don't overfit your training data - essentially, you are desensitizing your model ... Early Stopping Data Augmentation Label Smoothing Dropout ... So um that next topic then of trying to make neural networks work better where i had doing new deep effective Convolution Dot product Neuron as a detector of its weights Building blocks of a CNN ... our weekly series to learn more about Sebastian's books: sebastianraschka.com/books The lecture slides are available at: ... This lecture motivates and derives Static vs dynamic signals Temporal, sequential and time-series data Folding in space Folding in time Unfolding in time Recurrent ... Batchnorm at testing time. Is Batchnorm legit? faculty.pucit.edu.pk/nazarkhan/teaching/ Slides: docs.google.com/presentation/d/1LZlmuB7eXQV05GsOufSXRXDNyemEGPmWI26A1rFtrAI/edit?usp=sharing ...