Data and Knowledge Modeling and Analysis

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

Data and Knowledge Modeling and Analysis

Week 9 - Live Session - ECE657A - Spring 2021

Data and Knowledge Modeling and Analysis

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

Data and Knowledge Modeling and Analysis

Week 7 - Live Session - Review and Test 1 - 657A - Spring 2021

Data and Knowledge Modeling and Analysis

Maximum a Posteriori (MAP) Estimation

Data and Knowledge Modeling and Analysis

S21 - Week1Review - 3 - Questions

Data and Knowledge Modeling and Analysis

Week1Review - 1 - S21 - Poll - Admin

Data and Knowledge Modeling and Analysis

S21 - Week1Review - 2 - Questions

Data and Knowledge Modeling and Analysis

Visualizing CNNs

Data and Knowledge Modeling and Analysis

Autoencoders

Data and Knowledge Modeling and Analysis

Denoising Autoencoders

Data and Knowledge Modeling and Analysis

Deep Learning by Gradient Descent

Data and Knowledge Modeling and Analysis

Deep Learning Fundamentals

Data and Knowledge Modeling and Analysis

Lect 11B - Admin Intro

Data and Knowledge Modeling and Analysis

Effective Deep Learning - Data Augmentation and Vanishing Gradients

Data and Knowledge Modeling and Analysis

Effective Deep Learning - Regularization

Data and Knowledge Modeling and Analysis

Deep Learning - Fundamentals III (optional)

Data and Knowledge Modeling and Analysis

Convolutional Neural Networks II

Data and Knowledge Modeling and Analysis

CNNs - Making Deeper Networks

Data and Knowledge Modeling and Analysis

Lect 12B - 1 - Admin and Announcements

Data and Knowledge Modeling and Analysis

Practical Methodology Hyper-parameter Tuning

Data and Knowledge Modeling and Analysis

Adding Time Recurrent Neural Networks

Data and Knowledge Modeling and Analysis

Inception - Resnet - Densenet

Data and Knowledge Modeling and Analysis

Convolutional Neural Networks I

Data and Knowledge Modeling and Analysis

DeepLearning - Fundamentals II (optional)

Data and Knowledge Modeling and Analysis

Introduction to Neural Networks Concepts and History

Data and Knowledge Modeling and Analysis

Anomaly Detection Using One Class SVM (optional)

Data and Knowledge Modeling and Analysis

Anomaly Detection Isolation Forests and Mondrian Forests

Data and Knowledge Modeling and Analysis

Lect 9A-1 - Admin and Asg 3

Data and Knowledge Modeling and Analysis

Anomaly Detection Using Density Estimation

Data and Knowledge Modeling and Analysis