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From Sparks to Infernos: The Explosive Math of Wildfires
00:04:20
The Hidden Connection of ChatGPT
00:03:10
Dancing with AI - A Visual Bridge from Dance to ChatGPT
00:06:14
2022 03 01 09 40 36 1
00:22:10
Time Series Analysis with RNNS: The Model Problem Revisited
00:08:32
Machine Learning: In-depth look at Long Short Term Memory
00:10:58
Introduction to Gated Recurrent Units
00:07:33
Machine Learning: Introduction to Long-Short Term Memory (LSTM)
00:02:07
Limitations of the basic RNN
00:05:46
RNN's: How do they work?
00:08:02
Introduction to RNNS
00:08:26
Time-Series Analysis with RNNs: A model problem
00:05:31
Basic Architecture of CNN
00:11:20
Detailed Architecture Replacement
00:05:26
Receptive Field: Hubel and Wiesel
00:05:45
High Level Introduction to CNN
00:02:44
Introduction to Hyperparameters
00:09:58
Introduction to Weight Initialization
00:05:22
Introduction to the Learning Rate
00:16:38
Vanishing and Exploding Gradients
00:04:18
Momentum: Its use in Gradient Descent
00:09:00
Gradient Descents: Where are We and Next Steps.
00:04:43
Machine Learning: Where are We?
00:02:33
Implementation of SGD
00:09:38
Review of Gradient Application in Deep Learning
00:07:42
Regularization in Nature - Nervous System
00:04:43
Regularization - Data Augmentation
00:05:09
Regularization - Dropout
00:03:32
Regularization L2, L1
00:12:40
Automatic Differentiation.
00:12:42