Vallabh

on the atlas — 12

• CS231n Convolutional Neural Networks for Visual Recognition2 savers
• 3.2. Object-Oriented Design for Implementation — Dive into Deep Learning 1.0.3 documentation1 savers
• Your Transformer is Secretly an EOT Solver | Elements of a Vector Space4 savers
• The (Metro)logic of Machine Learning - by Maxim Raginsky1 savers
• Jamakhandi - Wikipedia1 savers
• D. C. Pavate - Wikipedia1 savers
• GitHub - vallabh1/learned_covariances1 savers
• Indirabai Wadkar of Bombay – Rajeev Patke1 savers
• linear algebra - If A is invertible, then it can be represented as a product of elementary matrices. - Mathematics Stack Exchange1 savers
• pca - What is the intuition behind SVD? - Cross Validated1 savers
• 2409.156151 savers
• Efficient Detection of Exchangeable Factors in Factor Graphs2 savers

highlights — 3

• The last quantity you might want to track is the ratio of the update magnitudes to the value magnitudes. Note: updates, not the raw gradients (e.g. in vanilla sgd this would be the gradient multiplied by the learning rate). You might want to evaluate and track this ratio for every set of parameters independently. A rough heuristic is that this ratio should be somewhere around 1e-3. If it is lower than this then the learning rate might be too low. If it is higher then the learning rate is likely too high

  CS231n Convolutional Neural Networks for Visual Recognition

• @add_to_class(A) def do(self): print('Class attribute "b" is', self.b) a.do()

  3.2. Object-Oriented Design for Implementation — Dive into Deep Learning 1.0.3 documentation

• The town of Kundgol, which is in the neighboring Dharwar district, was a non-contiguous part of Jamkhandi State until it merged into the Indian Union on 19 February 1948.

  Jamakhandi - Wikipedia