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161 results

Neural Pathways Academy
Build Your Own Mini-ChatGPT in PyTorch (Beginner Friendly)

How does a language model actually learn to write? In this video we build one from nothing. It's a small character-level GPT, ...

28:13
Build Your Own Mini-ChatGPT in PyTorch (Beginner Friendly)

120 views

7d ago

Dr. Joe
Build a CNN From Scratch in Python | How Computers Learn to See

How does a neural network learn to recognize handwriting? Let's build one and look inside. In this Dr. Joe code-along, we build ...

44:12
Build a CNN From Scratch in Python | How Computers Learn to See

44 views

5d ago

NeuralNine
The Best Open Model Right Now? (Kimi K3.1 Pro)

Kimi API (Extra 15% bonus for new users' first purchase, valid until Nov 30): ...

21:55
The Best Open Model Right Now? (Kimi K3.1 Pro)

12,020 views

23h ago

Helsinki Ruby
Accidentally building a neural network: A Ruby product recommendation journey by Nicolò Rebughini

Machine Learning often feels like a black box reserved for Python data scientists. But what happens when you solve a complex ...

28:26
Accidentally building a neural network: A Ruby product recommendation journey by Nicolò Rebughini

21 views

3d ago

Hot Path C++
How AI Actually Learns: From 99% Wrong to 99.8% Right (Inside an AI Brain) 🧠⚡

Think of a neural network as a giant audio studio soundboard with millions of tiny mixing knobs (weights) wired to a fast C++ ...

27:46
How AI Actually Learns: From 99% Wrong to 99.8% Right (Inside an AI Brain) 🧠⚡

18 views

6d ago

Badis Ydri | QUANTUM
Artificially Intelligent Physics: A Physics-Informed Neural Network Learns the Harmonic Oscillator

Download the paper, including the NumPy implementation: ...

27:43
Artificially Intelligent Physics: A Physics-Informed Neural Network Learns the Harmonic Oscillator

30 views

3h ago

AI MasterClass
Week 2 Live Session — Backpropagation and the Chain Rule

In this Week 2 live session of the AI Masterclass, Arjun Jain walks through the algorithm at the heart of every neural network: ...

1:06:02
Week 2 Live Session — Backpropagation and the Chain Rule

31 views

3d ago

MyWebUniversity
AI Explained Full Course: NN, Claude Agents, LLMs, Prompting, Agentic AI & Claude Code (12 Lessons)

From Alan Turing to ChatGPT and Claude 5:03 #2 How LLMs Work: Tokens, Neural Networks, Parameters & Attention 9:21 #3 ...

50:16
AI Explained Full Course: NN, Claude Agents, LLMs, Prompting, Agentic AI & Claude Code (12 Lessons)

112 views

2d ago

Programming With MA
RNN Practical Implementation in Python | Deep Learning | Urdu / Hindi

This is Python Programming Lecture 80. Learn RNN Implementation in Python with this practical Deep Learning tutorial for ...

1:20:52
RNN Practical Implementation in Python | Deep Learning | Urdu / Hindi

55 views

7d ago

Le Viet Nguyen
Logistic Regression & Neural Network Tutorial - NUS Fall 2026

In this video, I work through all of Python Clinic 4 for EE2213 (NUS ECE, AY2026/27 Sem 1). It covers logistic regression, data ...

42:29
Logistic Regression & Neural Network Tutorial - NUS Fall 2026

1 view

5d ago

AnuTech-CH
Artificial Intelligence and Deep Learning Full Course in just 4 hours!

02:02:53 - Neural Networks? 02:07:21 - Perceptron 02:15:01 - Activation Functions 02:20:55 - Forward Propagation 02:28:37 ...

3:54:04
Artificial Intelligence and Deep Learning Full Course in just 4 hours!

176 views

6d ago

Keduka
Vectorization Explained: Batch Processing & Matrix Multiplication | Deep Learning From Scratch

One loop or one matrix multiplication: the same answer, hundreds of times faster. See how a neural network handles a whole ...

25:35
Vectorization Explained: Batch Processing & Matrix Multiplication | Deep Learning From Scratch

57 views

4d ago

Neural Pathways Academy
PyTorch crash course: from tensors to training a handwritten digit classifier

In this crash course, we go from the foundations of PyTorch to the practical habits that help you build, train, debug, and improve ...

30:00
PyTorch crash course: from tensors to training a handwritten digit classifier

18 views

1d ago

JP INFOTECH PROJECTS
Cyberbullying Detection in Online Communication using Machine Learning | Python Final Year Project

IEEE Base Paper Title: Real-Time Cyberbullying Detection Using Dynamic and Edge-Enhanced Graph Neural Networks.

27:03
Cyberbullying Detection in Online Communication using Machine Learning | Python Final Year Project

58 views

2d ago

adrian m.n.
Muon vs AdamW, Lion and Sophia: a fair race | Minimum Viable GPT #23

All our training scripts use AdamW, so in this episode we put it in a fair race with Lion, Sophia and Muon, each written from its ...

45:33
Muon vs AdamW, Lion and Sophia: a fair race | Minimum Viable GPT #23

233 views

3d ago

App to AI
Grokking Deep Learning by Andrew W. Trask

Welcome to **App to AI** – your go-to channel for all things tech! In this video, we explore: Grokking Deep Learning by Andrew ...

39:47
Grokking Deep Learning by Andrew W. Trask

1 view

4d ago

MartinHanderPhD
Graph Neural Networks and Self-Supervised Learning Explained: GCN, GAT, SimCLR, BYOL, DINO, CLIP

In 2020, a graph neural network trained on labeled antibacterial assays helped identify halicin's antibiotic activity. In 2021, CLIP ...

31:02
Graph Neural Networks and Self-Supervised Learning Explained: GCN, GAT, SimCLR, BYOL, DINO, CLIP

59 views

1d ago

DSA Instituto
IA y Machine Learning aplicando Python ed. 209 MASTERCLASS

... es Henry TN Torres Eh soy ingeniero informático y ustedes conmigo van a llevar el curso de machine learning con Python Sí es ...

59:20
IA y Machine Learning aplicando Python ed. 209 MASTERCLASS

6 views

6d ago

CloudxLab Official
Python Basics | Certificate Course in AI and Machine Learning | CloudxLab | 18 Oct 2026

But what will be my function mwave anything you can pass So uh in in Python function in Python you can always pass function ...

2:16:20
Python Basics | Certificate Course in AI and Machine Learning | CloudxLab | 18 Oct 2026

476 views

Streamed 7d ago

ANIL KUMAR
Chapter 7: Deep Learning and AI Basics | Principles of Data Science (OpenStax)

(Critical Thinking Problem 2) For each scenario choose a standard neural network, a recurrent neural network, or a convolutional ...

1:10:15
Chapter 7: Deep Learning and AI Basics | Principles of Data Science (OpenStax)

7 views

6h ago