Neural Networks Courses and Certifications

Neural Networks Demystified

In this short series, we will build and train a complete Artificial Neural Network in python.

• YouTube
• 30 minutes
• On-Demand
• Free Video

NPTEL;  IIT Kharagpur

Introduction to Soft Computing

1 review

Explore fuzzy logic, genetic algorithms, and artificial neural networks in this comprehensive introduction to soft computing techniques and their applications.

• YouTube
• 19 hours
• On-Demand
• Free Video

Aladdin Persson

NeRFs- Neural Radiance Fields - Paper Explained

1 review

Explore neural radiance fields for 3D scene representation and view synthesis, covering network architecture, key concepts, learning process, and advanced techniques.

• YouTube
• 20 minutes
• On-Demand
• Free Video

Neural Networks from Scratch in Python

Build and understand neural networks from the ground up, covering key concepts like neurons, layers, activation functions, and loss calculation in Python.

• YouTube
• 3 hours 30 minutes
• On-Demand
• Free Video

Neural Networks

This playlist has everything you need to know about Neural Networks, from the basics, all the way to image classification with Convolutional Neural Networks.

• YouTube
• 3 hours 30 minutes
• On-Demand
• Free Video

Stochastic Learning Dynamics and Generalization in Neural Networks

Explore stochastic learning dynamics and generalization in neural networks, uncovering key insights into their behavior and performance in various applications.

• YouTube
• 1 hour 6 minutes
• On-Demand
• Free Video

Self-Organization of Strong Connections in the Brain

Uncover how heavy-tailed connectivity in neural networks emerges from simple mechanisms. Explore a model of synaptic self-organization and its implications for understanding brain structure across species.

• YouTube
• 34 minutes
• On-Demand
• Free Video

Artificial Intelligence Foundations: Neural Networks

647 ratings at LinkedIn Learning

Learn the fundamental techniques and principles behind artificial neural networks.

• LinkedIn Learning
• 1 hour 45 minutes
• On-Demand
• Free Trial Available

CAP5415 - Training Neural Networks Part 2 - Fall 2020 - Lecture 7

Explore advanced neural network training techniques, including loss functions, backpropagation, gradient descent optimization, and strategies to address common challenges in deep learning.

• YouTube
• 1 hour 2 minutes
• On-Demand
• Free Video

CAP5415 - Training Neural Networks Part 1 - Lecture 7 - Fall 2020

Explore neural network training techniques, including learning kernels, loss functions, and gradient descent, to enhance your understanding of deep learning fundamentals.

• YouTube
• 25 minutes
• On-Demand
• Free Video

Introduction to Neural Networks - Lecture 5

Introduction to neural networks, covering object classification, image representation, and machine learning fundamentals. Explores biological inspiration, computational implementation, and practical applications in image recognition.

• YouTube
• 1 hour 13 minutes
• On-Demand
• Free Video

Training Neural Networks - Part II - Lecture 11

Explore advanced neural network training techniques, including loss functions, learning rates, momentum, and strategies to prevent overfitting for improved computer vision model performance.

• YouTube
• 1 hour 13 minutes
• On-Demand
• Free Video

Training Neural Networks for Computer Vision - Part I - Lecture 10

Explore neural network training techniques, including gradient descent, loss functions, and backpropagation, for effective computer vision model optimization and performance improvement.

• YouTube
• 36 minutes
• On-Demand
• Free Video

Introduction to Neural Networks - Part II - Lecture 8

Explore neural network fundamentals, including activation functions, multi-class classification, and multi-layer perceptrons. Learn about their implementation and performance on image datasets like MNIST.

• YouTube
• 53 minutes
• On-Demand
• Free Video

Introduction to Neural Networks for Computer Vision - Part I

Introduction to neural networks for computer vision, covering key concepts like pixel representation, feature extraction, and image classification. Explores biological inspiration and computational implementation of neural activation functions.

• YouTube
• 30 minutes
• On-Demand
• Free Video