Lecture 2: Building Basic Neural Networks

Lecture 2: Building Basic Neural Networks

Part 2: Neural Networks Fundamentals | Lesson: Building MLP for Image Based Regression in PytorchПодробнее

Part 2: Neural Networks Fundamentals | Lesson: Building MLP for Image Based Regression in Pytorch

MIT 6.S191: Recurrent Neural Networks, Transformers, and AttentionПодробнее

MIT 6.S191: Recurrent Neural Networks, Transformers, and Attention

MIT Introduction to Deep Learning | 6.S191Подробнее

MIT Introduction to Deep Learning | 6.S191

S2025 Lecture 2 - Neural Nets As Universal ApproximatorsПодробнее

S2025 Lecture 2 - Neural Nets As Universal Approximators

Stanford CS229 I Machine Learning I Building Large Language Models (LLMs)Подробнее

Stanford CS229 I Machine Learning I Building Large Language Models (LLMs)

Lecture 1 - Neural Network from Scratch: Coding Neurons and LayersПодробнее

Lecture 1 - Neural Network from Scratch: Coding Neurons and Layers

MIT 6.S191 (2024): Recurrent Neural Networks, Transformers, and AttentionПодробнее

MIT 6.S191 (2024): Recurrent Neural Networks, Transformers, and Attention

Understand Artificial 🤖Neural Networks🦾 from Basics with Examples | Components | WorkingПодробнее

Understand Artificial 🤖Neural Networks🦾 from Basics with Examples | Components | Working

Multi-Layer Perceptron Learning Feed Forward Learning Back Propagation Algorithm by Mahesh HuddarПодробнее

Multi-Layer Perceptron Learning Feed Forward Learning Back Propagation Algorithm by Mahesh Huddar

Generative AI in a Nutshell - how to survive and thrive in the age of AIПодробнее

Generative AI in a Nutshell - how to survive and thrive in the age of AI

Lectures on Deepsets, Graph Neural Network and Transformers... (Lecture 2) by Sanmay GangulyПодробнее

Lectures on Deepsets, Graph Neural Network and Transformers... (Lecture 2) by Sanmay Ganguly

[1hr Talk] Intro to Large Language ModelsПодробнее

[1hr Talk] Intro to Large Language Models

F23 Lecture 2: Neural Nets As Universal ApproximatorsПодробнее

F23 Lecture 2: Neural Nets As Universal Approximators

Radial Basis Function RBF | Gaussian RBF Multiquadratic RBF Artificial Neural Network Mahesh HuddarПодробнее

Radial Basis Function RBF | Gaussian RBF Multiquadratic RBF Artificial Neural Network Mahesh Huddar

How to Build an LLM from Scratch | An OverviewПодробнее

How to Build an LLM from Scratch | An Overview

Self Organizing Feature Map Kohonen Maps Solved Example | Self Organizing Networks by Mahesh HuddarПодробнее

Self Organizing Feature Map Kohonen Maps Solved Example | Self Organizing Networks by Mahesh Huddar

EfficientML.ai Lecture 2 - Basics of Neural Networks (MIT 6.5940, Fall 2023, Zoom recording)Подробнее

EfficientML.ai Lecture 2 - Basics of Neural Networks (MIT 6.5940, Fall 2023, Zoom recording)

EfficientML.ai Lecture 2 - Basics of Neural Networks (MIT 6.5940, Fall 2023)Подробнее

EfficientML.ai Lecture 2 - Basics of Neural Networks (MIT 6.5940, Fall 2023)

F23 Lecture 2: Neural Nets As Universal ApproximatorsПодробнее

F23 Lecture 2: Neural Nets As Universal Approximators

Актуальное