Neural Networks Courses and Certifications

Literacy Essentials: Core Concepts Neural Network

10 ratings at Pluralsight

This course will teach the core concepts of artificial neural networks: what they are and how they structure along with the vectorization of neural networks to attain optimal performance.

• Pluralsight
• 49 minutes
• On-Demand
• Free Trial Available

Introduction to Neural Networks

Delve into the inner machinery of neural networks to discover how these flexible learning tools actually work.

• Brilliant
• 4 hours
• On-Demand
• Paid Course

Artificial Neural Networks

A quick dive into a cutting-edge computational method for learning.

• Brilliant
• 20-30 hours
• On-Demand
• Paid Course

Restricted Boltzmann Machines

Learn about Restricted Boltzmann Machines (RBM), a type of Gibbsian network used to model high-dimensional data, in less than an hour.

• YouTube
• 30 minutes
• On-Demand
• Free Online Course

Serrano.Academy

Neural Networks

This Course is a friendly introduction series to machine learning, deep learning, neural networks and generative adversarial networks.

• YouTube
• 3 hours 30 minutes
• On-Demand
• Free Online Course

How Neural Networks Work

This video sequence tracks the lecture sequence in course 313 from the End to End Machine Learning School, How Neural Networks Work.

• YouTube
• 4 hours 30 minutes
• On-Demand
• Free Online Course

Convolution in One Dimension for Neural Networks

Learn the theory behind 1D convolution for neural networks and its implementation in Python, including backpropagation, padding, stride, and building a 1D convolutional neural network.

• YouTube
• 1 hour 30 minutes
• On-Demand
• Free Online Course

Convolution in Two Dimensions

Learn to build a 2D convolutional neural network, understand softmax layers, batch normalization, and explore Cottonwood in this 2-3 hour program.

• YouTube
• 2 hours 30 minutes
• On-Demand
• Free Online Course

Build a Neural Network Framework

Learn to build your own neural network framework in less than an hour with practical exercises.

• YouTube
• 30 minutes
• On-Demand
• Free Online Course

Great Learning

Bank Defaulters Using ANN

Explore the principles of Artificial Neural Networks (ANN) with Great Learning's 2-hour program. Learn about ANN architecture, activation functions, back propagation, and apply these concepts using Python's Keras library.

• YouTube
• 1 hour 18 minutes
• On-Demand
• Free Online Course

Venelin Valkov

Build a Neural Network with Python Tutorial - Deep Learning with PyTorch

Learn to build a neural network with Python and PyTorch, predict weather patterns, and optimize models in under an hour with Venelin Valkov.

• YouTube
• 58 minutes
• On-Demand
• Free Online Course

Venelin Valkov

What Is a Neural Network? - Machine Learning for JavaScript Hackers with TensorFlow.js

Learn about Neural Networks, Perceptron and Sigmoid Neuron models with TensorFlow.js in under an hour with Venelin Valkov.

• YouTube
• 33 minutes
• On-Demand
• Free Online Course

Nicholas Renotte

Forecasting Weather with Neural Prophet and Python

Learn to forecast weather using Neural Prophet and Python in less than an hour with Nicholas Renotte. Master data preprocessing, model training, and future predictions.

• YouTube
• 24 minutes
• On-Demand
• Free Online Course

Yannic Kilcher

Multimodal Neurons in Artificial Neural Networks - With OpenAI Microscope, Research Paper Explained

Explore the inner workings of OpenAI's CLIP model with Yannic Kilcher in less than an hour. Understand how neurons respond to distinct concepts across multiple modalities.

• YouTube
• 52 minutes
• On-Demand
• Free Online Course

Yannic Kilcher

How to Represent Part-Whole Hierarchies in a Neural Network - Geoff Hinton's Paper Explained

Explore Geoff Hinton's GLOM model for AI visual scene understanding in this 1-2 hour material by Yannic Kilcher. Learn about object recognition, capsule networks, and GLOM architecture.

• YouTube
• 1 hour 3 minutes
• On-Demand
• Free Online Course