OPT4XL
Welcome! I'm Dr. Abolfazl Hashemi, an Assistant Professor at Purdue ECE.
This channel features videos on my research and teaching, focused on Large-Scale Optimization for "X Learning" (OPT4XL).
Join me for lectures, research talks, tutorials, and more!
10.1: Compression Mechanisms Part 1
9.5: Momentum as Bias Variance Tradeoff Part 2
9.4: Momentum as Bias Variance Tradeoff Part 1
9.3: Advanced Training Algorithms – Variance Reduction Part 3
9.2: Advanced Training Algorithms – Variance Reduction Part 2
9.1: Advanced Training Algorithms – Variance Reduction Part 1
8.5: Adam Optimizer for Deep Learning
8.4: Advanced Training Algorithms – Momentum Part 2
8.3: Advanced Training Algorithms – Momentum Part 1
8.2: Advanced Training Algorithms – Adaptivity Part 2
8.1: Advanced Training Algorithms – Adaptivity Part 1
7.3: Tuning Learning Rates Part 2
7.2: Tuning Learning Rates Part 1
7.1: Regularization
6.4: Initialization and Normalization Part 2
6.3: Initialization and Normalization Part 1
6.2: Back propagation Example in Pytorch
6.1: Automatic Differentiation
5.5: Deep Learning Architectures 3 RNNs
5.4: Deep Learning Architectures 2 CNNs Part 2
5.3: Deep Learning Architectures 2 CNNs Part 1
5.2: Deep Learning Architectures 1 MLPs Part 2
5.1: Deep Learning Architectures 1 MLPs Part 1
4.3: Stochastic Gradient Descent without the Gradient Part 2
4.2: Stochastic Gradient Descent without the Gradient Part 1
4.1: High Confidence Guarantees
3.4: Stochastic Gradient Descent Some Examples
3.3: Beyond Convexity SGD and Smoothness Part 3
3.2: Beyond Convexity SGD and Smoothness Part 2
3.1: Beyond Convexity SGD and Smoothness Part 1