ECE657A

0:32:55

Week 9 - Live Session - ECE657A - Spring 2021

0:20:00

Week 8 - Live Session - Post-Test 1, Clustering, Train vs.Test - ECE657A - Spring 2021

0:59:11

Week 10 - Live Session - ASG2, TEST 2, PCA FEATURES, DEEP LEARNING SCHEDULE - ECE657A - Spring 2021

0:11:28

ECE657 Collaborating with Families

0:03:36

ECE657 WK3 DSC POST

0:58:22

ECE657 Lecture 8 Part II

0:08:14

Samantha Lighthill Week Two: Assignment: Professional Development Presentation ECE657

0:38:27

Locally Linear Embedding (LLE) (optional)

0:35:32

Independent Component Analysis (ICA) Using Singular Value Decomposition (optional)

0:40:07

Variational Autoencoder (VAE) (optional)

0:07:52

ECE657-week 2lun

0:54:16

Principal Component Analysis (PCA)

0:17:56

DeepLearning - Fundamentals II (optional)

0:36:35

Parameter Estimation - Bias vs. Variance - Unbiased Estimators - Cross-validation

0:25:52

CNNs - Making Deeper Networks

0:28:29

Autoencoders

0:25:18

Deep Learning by Gradient Descent

0:17:38

Convolutional Neural Networks I

0:18:17

Measuring Similarity of Data

0:26:50

Deep Learning Fundamentals

0:24:51

Training and Validation Methodology - Test, Train, and Validate

0:21:19

Denoising Autoencoders

0:48:13

Ensemble Methods

0:30:06

Classification - Introduction