Vu Hung Nguyen (Hưng)

9:16

21 AI Ethics Alignment Problem

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8:54

20 The Unreasonable Effectiveness

Vu Hung Nguyen (Hưng)

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7:31

19 Reinforcement Learning

Vu Hung Nguyen (Hưng)

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6:00

18 Diffusion Models

Vu Hung Nguyen (Hưng)

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7:50

17 Demystifying VAEs

Vu Hung Nguyen (Hưng)

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8:39

16 Normalizing Flows

Vu Hung Nguyen (Hưng)

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7:06

15 Generative Adversarial Networks

Vu Hung Nguyen (Hưng)

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7:24

14 Unsupervised Learning

Vu Hung Nguyen (Hưng)

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7:30

13 Graph Neural Networks

Vu Hung Nguyen (Hưng)

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6:00

12 Demystifying Transformers

Vu Hung Nguyen (Hưng)

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6:19

11 Deeper AI Residual Networks

Vu Hung Nguyen (Hưng)

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8:49

10 How AI Learns to See

Vu Hung Nguyen (Hưng)

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7:39

09 Regularization

Vu Hung Nguyen (Hưng)

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7:13

08 Measuring AI Performance

Vu Hung Nguyen (Hưng)

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7:33

07 Training AI Clever Tricks

Vu Hung Nguyen (Hưng)

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7:23

06 How AI Learns

Vu Hung Nguyen (Hưng)

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7:31

05 How AI Knows It s Wrong

Vu Hung Nguyen (Hưng)

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6:43

04 Why Deep Learning is DEEP

Vu Hung Nguyen (Hưng)

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6:26

03 Shallow Neural Networks

Vu Hung Nguyen (Hưng)

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7:29

02 Supervised Learning

Vu Hung Nguyen (Hưng)

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8:44

01 A Beginner s Guide to DL

Vu Hung Nguyen (Hưng)

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16:49

PL 900 Lab03 How to Build a Model Drivepp App

Vu Hung Nguyen (Hưng)

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16:18

PL 900 Lab05 Build Automated Solution

Vu Hung Nguyen (Hưng)

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12:00

PL 900 Lab06 Power BI

Vu Hung Nguyen (Hưng)

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9:31

PL 900 Lab02 How to Build a Canvas App

Vu Hung Nguyen (Hưng)

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11:49

PL 900 Lab01 Data Model

Vu Hung Nguyen (Hưng)

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9:40

PL 900 Lab04 Build a Canvas App Using Copilot

Vu Hung Nguyen (Hưng)

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6:15

07 Text Classification Done Right: FFNNs, PyTorch DataLoaders, & Adam

Vu Hung Nguyen (Hưng)

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6:59

13 Fine Tuning Transformers

Vu Hung Nguyen (Hưng)

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7:14

02 Machine Learning Is Easy: Meet The Perceptron

Vu Hung Nguyen (Hưng)

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6:29

14 Code to Conversation

Vu Hung Nguyen (Hưng)

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7:55

12 Understanding Transformers

Vu Hung Nguyen (Hưng)

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7:08

03 Logistic Regression: Soft Updates for Better Learning

Vu Hung Nguyen (Hưng)

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7:10

06 Taming Deep Learning: Mini-batching for Stable Training

Vu Hung Nguyen (Hưng)

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6:17

Implementing Machine Translation with T5 Transformers

Vu Hung Nguyen (Hưng)

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6:55

05 Your First Neural Network: Feed Forward Fundamentals

Vu Hung Nguyen (Hưng)

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6:34

11 AI Recipe Learning Grammar

Vu Hung Nguyen (Hưng)

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6:31

16 Practical NLP: Neural Architectures for Text Classification

Vu Hung Nguyen (Hưng)

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6:19

00 ML & NLP Basics: How Deep Learning Powers Your Digital Life

Vu Hung Nguyen (Hưng)

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5:03

09 Turning Words Into Numbers

Vu Hung Nguyen (Hưng)

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7:51

04 Code Your Own Text Classifier: Logistic Regression in Python

Vu Hung Nguyen (Hưng)

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7:44

10 Unlocking Sequences

Vu Hung Nguyen (Hưng)

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6:22

01 How Machines Speak: Intro to ML, NLP, & Deep Learning

Vu Hung Nguyen (Hưng)

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7:50

08 From Words to Vectors: The Power of Representation Learning

Vu Hung Nguyen (Hưng)

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7:18

17 Python Language & Libraries: Core Features Overview

Vu Hung Nguyen (Hưng)

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6:18

14 IT Security Management

Vu Hung Nguyen (Hưng)

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5:02

25 Beyond the Textbook

Vu Hung Nguyen (Hưng)

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5:37

24 Wi Fi & Mobile Security

Vu Hung Nguyen (Hưng)

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7:14

23 Internet Authentication

Vu Hung Nguyen (Hưng)

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6:55

22 Invisible Armor of the Net

Vu Hung Nguyen (Hưng)

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9:11

21 A Toolkit for Digital Trust

Vu Hung Nguyen (Hưng)

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6:31

20 Symmetric Encryption

Vu Hung Nguyen (Hưng)

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6:53

19 Cyber Law & Ethics

Vu Hung Nguyen (Hưng)

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5:40

18 Security Auditing

Vu Hung Nguyen (Hưng)

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7:35

17 The Human Firewall

Vu Hung Nguyen (Hưng)

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7:03

16 The Unseen Fortress

Vu Hung Nguyen (Hưng)

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5:45

15 Risk to Response

Vu Hung Nguyen (Hưng)

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6:18

14 IT Security Management

Vu Hung Nguyen (Hưng)

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7:18

13 Building Trusted Computers

Vu Hung Nguyen (Hưng)

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7:35

12 Operating System Security

Vu Hung Nguyen (Hưng)

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