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38 results

Quantitative Sciences
Stochastic Gradient Descent

Stochastic Gradient Descent (SGD) is a fundamental optimization algorithm used to train machine learning and deep learning ...

16:45
Stochastic Gradient Descent

29 views

7 days ago

Pallence AI
Gradient Descent Explained Simply: How AI Models Actually Learn

Deep Learning Foundations Playlist (start here): https://youtu.be/YQj9fgqkSTA?si=odzNpNUAy7Gs1Pj9 In this video, I break down ...

18:28
Gradient Descent Explained Simply: How AI Models Actually Learn

18 views

5 days ago

Your Note
Gradient Descent Explained Simply | How Machines Learn the Best Fit Line

Gradient descent as a powerful optimization algorithm used to improve the accuracy of machine learning models, such as ...

6:29
Gradient Descent Explained Simply | How Machines Learn the Best Fit Line

0 views

2 days ago

عبد الرحمن المُسلَّمِي
14- Neural networks.. Minimum Error (Optimization: Gradient Descent) part 1
19:05
14- Neural networks.. Minimum Error (Optimization: Gradient Descent) part 1

41 views

2 days ago

Northeastern Online
The Secret Behind Modern Language AI: Pre-Training

How do language AI models actually learn what language means? Pre-training has revolutionized natural language processing ...

4:30
The Secret Behind Modern Language AI: Pre-Training

0 views

4 days ago

the notebook
Training Deep Neural Networks Explained | Why It’s So Difficult

Training deep neural networks is one of the most challenging problems in modern artificial intelligence. In this video, we explain ...

7:15
Training Deep Neural Networks Explained | Why It’s So Difficult

10 views

5 days ago

Uplatz
Modern Gradient Descent Optimizers: Evolution, Theory & Practical Implementation | Uplatz

In this Uplatz Explainer, we explore the evolution and implementation of modern gradient descent optimizers, explaining how ...

6:55
Modern Gradient Descent Optimizers: Evolution, Theory & Practical Implementation | Uplatz

5 views

2 days ago

sitechx
Grasping Machine learning in just four weeks.

This video will help you master ML in a few(4) weeks.

5:45
Grasping Machine learning in just four weeks.

28 views

2 days ago

MartinY Tech
Unlock Neural Network Performance with Optimization Techniques

Learn about gradient descent, stochastic gradient descent, momentum, and adaptive learning rates, along with practical ...

11:33
Unlock Neural Network Performance with Optimization Techniques

0 views

5 days ago

MartinY Tech
Evaluate Neural Network Performance Like a Pro

In this video, we dive deep into the essential aspects of evaluating neural network performance. Learn the intricacies of ...

12:04
Evaluate Neural Network Performance Like a Pro

0 views

4 days ago

Machine Learning with me
Why Linear Regression for machine learning.................?

... you master Linear Regression, learning Gradient Descent, Polynomial Regression, and Regularization becomes much easier.

5:50
Why Linear Regression for machine learning.................?

16 views

6 days ago

Professor Py: AI Foundations
Why training crawls or diverges: learning rate Python demo

Learning rate, demystified: see too-small, optimal convergence, and divergence in a tiny Python gradient descent demo.

7:22
Why training crawls or diverges: learning rate Python demo

0 views

5 days ago

DeepSimple
Backpropagation Explained in 6 minute Seconds

How do neural networks actually learn? Backpropagation is the core algorithm that allows AI to adjust its weights and improve ...

6:49
Backpropagation Explained in 6 minute Seconds

10 views

7 days ago

Tamara Azzam
Deep Learning Explained: Professional Guessing

Neural networks aren't elegant math machines- they're more like controlled chaos. This video breaks down why modern AI isn't ...

4:16
Deep Learning Explained: Professional Guessing

276 views

3 days ago

TheCreativeExplorer
Foundations of Regression,Linear Regression, Polynomial Regression, and Logistic Regression

We cover simple and multiple linear regression, hypothesis functions, cost functions, gradient descent, assumptions, and ...

6:57
Foundations of Regression,Linear Regression, Polynomial Regression, and Logistic Regression

3 views

4 days ago

Neural Intel Media
Training Jacobians of Neural Networks

Journey into deep learning fundamentals: Exploring how neural networks learn through their Jacobian matrices, and what this ...

17:56
Training Jacobians of Neural Networks

0 views

2 days ago

AI and Machine Learning Explained
What Are The Main Optimizer Families In Deep Learning?

An exploration of the main families of optimizers, from classic gradient descent to adaptive methods. ▻ Insights into how different ...

4:03
What Are The Main Optimizer Families In Deep Learning?

0 views

3 days ago

TheChronicleShow
Neural Network Training Explained: Forward Propagation, Backpropagation, and Computational Graphs

In this video, we explore the fundamental mechanisms that allow neural networks to learn from data. We break down the ...

6:12
Neural Network Training Explained: Forward Propagation, Backpropagation, and Computational Graphs

5 views

2 days ago

AI and Machine Learning Explained
How Do Optimizer Families Evolve In Neural Networks?

Ever wondered how the algorithms that power neural networks adapt and improve over time? This video delves into the ...

4:22
How Do Optimizer Families Evolve In Neural Networks?

0 views

3 days ago

STEM in Motion by Gaurav
Episode 3 || Supervised Learning: The Complete Visual Explanation || #ai #ml #supervisedlearning

... https://youtu.be/8zZRGFAqCm8 ▶️ Ep 02: Gradient Descent Explained https://youtu.be/aRry9XxrN1E ▶️ Ep 03: Supervised ...

7:24
Episode 3 || Supervised Learning: The Complete Visual Explanation || #ai #ml #supervisedlearning

24 views

6 days ago