Optimization for Deep Learning (Momentum, RMSprop, AdaGrad, Adam)
Optimizers - EXPLAINED!
Learning Rate Decay (C2W2L09)
Momentum and Learning Rate Decay
Adam Optimization Algorithm (C2W2L08)
AdamW Optimizer Explained | L2 Regularization vs Weight Decay
Adam Optimizer Explained in Detail | Deep Learning
CS 152 NN—8: Optimizers—Weight decay
Top Optimizers for Neural Networks
L12.4 Adam: Combining Adaptive Learning Rates and Momentum
NN - 20 - Learning Rate Decay (with PyTorch code)
AdamW Optimizer Explained #datascience #machinelearning #deeplearning #optimization
L12.1 Learning Rate Decay
134 - What are Optimizers in deep learning? (Keras & TensorFlow)
Lecture 4.3 Optimizers
optimizers comparison: adam, nesterov, spsa, momentum and gradient descent.
Underlying Mechanisms Behind Learning Rate Warmup's Success
Learning Rate Grafting: Transferability of Optimizer Tuning (Machine Learning Research Paper Review)
Optimizers in Deep Neural Networks
Optimization in Data Science - Part 4: ADAM
