DLFVC - 14 - Part 1/3 - Review of the Exponentially Moving Average

(17:50)

DLFVC - 14 - Part 3/3 - RMSPropo, ADAM, RAdam, Lookahead, Novograd

(43:23)

Lecture 14: Optimization Techniques (Exponential Weighted Average, ADAM, Nesterov, RMS-Prop)

(1:1:41)

DLFVC - 16 - Classification Architectures Part 1 / 2

(1:7:41)

Shape Analysis (Lectures 14, extra content): A simple Laplacian on point clouds

(23:20)

Lecture 4.3 Optimizers

(40:11)

DLFVC - 30 - Texture Synthesis

(50:3)

Cave Cultists - NPC D\u0026D Compilation 14

(4:7:7)

Convolutional Neural Networks - Intro to Deep Learning using TensorFlow #14

(32:39)

DLFVC - 17 - Visualization

(1:4:49)

DLFVC - 13 - Data Augmentation

(44:6)

DLFVC - D02 - Visualization using Tensorboard

(6:24)

Meet AdaMod: New Deep Learning Optimizer with Long Term Memory

(16:46)

Machine Learning: Rectified ADAM in 100 lines of PyTorch code

(6:10)

MATH 2414 - Exam 1 Review (1 - 14)

(24:36)

DLFVC - A1 - Linear Algebra Review

(1:17:41)

DLFVC - 07 - Activation Functions

(54:24)