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40 results

NexTechX
4. PyTorch Autograd Explained Simply | Gradients & Backpropagation in PyTorch

Learn Autograd in PyTorch from scratch with simple explanations and practical examples. In this video, we understand how ...

12:55
4. PyTorch Autograd Explained Simply | Gradients & Backpropagation in PyTorch

24 views

4 days ago

Sharad Khare
PyTorch Computer Vision Tutorial for Beginners | Build Your First CNN | Sharad Khare

Train your first computer vision model in PyTorch — from a blank notebook to a CNN that can say frog, not cat. In this beginner ...

19:17
PyTorch Computer Vision Tutorial for Beginners | Build Your First CNN | Sharad Khare

14 views

1 day ago

Debug Explains
Trust me, I can teach you how GPT works | building GPT #2

We stop counting and start learning. In this video we build the first neural network of the series , a neural bigram language model ...

17:30
Trust me, I can teach you how GPT works | building GPT #2

23 views

7 days ago

Sharad Khare
Keras 3 Tutorial: One Model on TensorFlow, PyTorch & JAX (GPU/TPU) | Sharad Khare

Keras 3 lets you write one model.py and run it on TensorFlow, PyTorch, or JAX — then put it on GPU or TPU without rewriting ...

16:56
Keras 3 Tutorial: One Model on TensorFlow, PyTorch & JAX (GPU/TPU) | Sharad Khare

11 views

5 days ago

Quantum Logics
PyTorch backward() Explained - Gradients, Loss & Backpropagation - Lecture 12

Welcome to Lecture 12 of the PyTorch for Beginners series! In this lecture, we’ll learn about .backward(), one of the most ...

7:20
PyTorch backward() Explained - Gradients, Loss & Backpropagation - Lecture 12

8 views

7 days ago

Uplatz
Lesson 24 - PyTorch: The Researcher's Deep Learning Framework | Python Packages Series | Uplatz

In this video by Uplatz, we continue our Python Packages Series with PyTorch, a powerful deep learning framework widely used ...

8:06
Lesson 24 - PyTorch: The Researcher's Deep Learning Framework | Python Packages Series | Uplatz

3 views

4 days ago

The Unplanned Stack
I Can't Explain an LLM. So I'm Building One From Scratch.

I use LLMs every day. If you asked me to explain how one actually works, I couldn't. So I'm building one from scratch — starting ...

11:21
I Can't Explain an LLM. So I'm Building One From Scratch.

8 views

3 days ago

Simple C
Why Machine Learning Needs Synthetic Data?

programming #python #motivation #ArtificialIntelligence #MachineLearning #DeepLearning #TechNews #AIExplained ...

10:24
Why Machine Learning Needs Synthetic Data?

5 views

2 days ago

Machine Learning with PyTorch
FlashAttention Explained with a Complete Numerical Example

FlashAttention is often described as “attention, but faster”—but how does it actually work? In this video, I explain FlashAttention ...

11:38
FlashAttention Explained with a Complete Numerical Example

69 views

4 days ago

Glass Box Computing
Autograd: The Computation Graph — Practical PyTorch | 1.5

Nobody differentiates a neural network by hand. PyTorch records every operation you do to a tensor, then plays that record ...

10:42
Autograd: The Computation Graph — Practical PyTorch | 1.5

0 views

7 hours ago

Carnegie Mellon University Deep Learning
0.22 Block Processing

In this recitation, we talk about Block Processing, which is how we organize a neural network into reusable blocks using PyTorch ...

11:24
0.22 Block Processing

102 views

7 days ago

Joel John J
The Python Lie: Why C++ is the REAL Engine Behind AI! 🚀🤖 Check Books Below Video Press More 📚 👇

The Python Lie: Why C++ is the REAL Engine Behind AI! Check Books Below Video Press More To Buy Artificial ...

9:30
The Python Lie: Why C++ is the REAL Engine Behind AI! 🚀🤖 Check Books Below Video Press More 📚 👇

89 views

6 days ago

Soance Learning Hub
The Regularization Stack  Fixing Neural Network Overfitting | Season 1 | Part 27

The Regularization Stack: Fixing Neural Network Overfitting | Season 1 | Part 27 Welcome to **The Regularization Stack: Fixing ...

6:16
The Regularization Stack Fixing Neural Network Overfitting | Season 1 | Part 27

4 views

2 days ago

Computer Vision Lab
Python or C++ Faster for YOLO? CPU Test!

YOLO Inference: C++ vs Python | CPU Performance Comparison In this video, we compare YOLOv12 running on C++ and Python ...

6:25
Python or C++ Faster for YOLO? CPU Test!

138 views

3 days ago

Adsorp AI Hindi
6.5 Assembling a Complete DQN Agent Step-by-Step | Deep Q-Networks (DQN)

Assemble all core components—PyTorch neural networks, experience replay memory, target networks, and epsilon-greedy ...

19:55
6.5 Assembling a Complete DQN Agent Step-by-Step | Deep Q-Networks (DQN)

0 views

4 hours ago

yamanem
PytorchモデルをONNXに変換する理由はコレ!【BEVFormerで解説】

AI推論 #BEVFormer #pytorch #ONNX 【動画概要】 この動画では、BEVFormerのPytorchモデルを動かす環境と仕組みを説明し ...

13:33
PytorchモデルをONNXに変換する理由はコレ!【BEVFormerで解説】

16 views

3 days ago

Glass Box Computing
Tensors: Shape, Dimensions, Dtype — Practical PyTorch | 1.2

A tensor is just a grid of numbers with two labels: a shape and a dtype. Get either one wrong and you get the most common class ...

13:33
Tensors: Shape, Dimensions, Dtype — Practical PyTorch | 1.2

2 views

7 hours ago

Adsorp AI Hindi
5.1 Environment Configuration | Setting Up Your macOS

Supercharge your 3D Deep Learning workflow directly on your Mac! In this lesson, we configure a high-performance environment ...

17:09
5.1 Environment Configuration | Setting Up Your macOS

6 views

6 days ago

Godlike Academy
AI-901 Azure AI Fundamentals · Lesson 27: Neural Networks Explained for Exam Success

Learn Neural Networks Introduction — Lesson 27 in our AI-901 series. Module: Identify AI Concepts Chapters 0:00 Neural ...

9:27
AI-901 Azure AI Fundamentals · Lesson 27: Neural Networks Explained for Exam Success

0 views

1 day ago

Soance Learning Hub
Diagnosing Fixing ML Model Errors Bias Variance Tradeoff | Season 1 | Part 26

Diagnosing & Fixing ML Model Errors: Bias Variance Tradeoff | Season 1 | Part 26 Welcome to **Diagnosing & Fixing ML ...

5:23
Diagnosing Fixing ML Model Errors Bias Variance Tradeoff | Season 1 | Part 26

3 views

3 days ago