Multilayer Perceptrons Courses and Certifications

Introduction to Machine Learning

3717 ratings at Coursera

Foundational understanding of machine learning models, hands-on implementation with PyTorch, and applications across industries from medical diagnostics to image recognition and text prediction.

• Coursera
• 1 day 1 hour 37 minutes
• On-Demand
• Free Online Course (Audit)

Machine Learning Optimization Using Genetic Algorithm

369 ratings at Udemy

Learn how to optimize Machine Learning algorithms' performances and apply feature selection using Genetic Algorithm

• Udemy
• 6 hours 34 minutes
• On-Demand
• Paid Course

Advanced Neural Networks in R - A Practical Approach

29 ratings at Udemy

Boost your data science skills - learn to build and train complex neural network using the R program

• Udemy
• 3 hours 11 minutes
• On-Demand
• Paid Course

Andrej Karpathy

Building Makemore - Activations & Gradients, BatchNorm

Explore MLP internals, activations, gradients, and BatchNorm. Learn to diagnose deep networks, understand training challenges, and implement modern techniques for improved performance.

• YouTube
• 1 hour 56 minutes
• On-Demand
• Free Video

Paul Hand

Neural Network Architectures for Images

Explore neural network architectures for image processing, including classification, segmentation, and enhancement. Learn about CNNs, ResNets, autoencoders, and their applications in various imaging tasks.

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

Simons Institute

The Prefrontal Cortex as a Meta-Reinforcement Learning System

Explore the prefrontal cortex's role in meta-reinforcement learning, connecting neuroscience and AI through recurrent neural networks and cognitive tasks like Harlow's experiment.

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

3Blue1Brown

How LLMs Might Store Facts - Multilayer Perceptrons in Transformers

Explores how large language models potentially store factual information, focusing on multilayer perceptrons in transformers and the concept of superposition in neural networks.

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

Center for Language & Speech Processing(CLSP), JHU

Neural Networks for Speech Recognition - 2013

Explore the evolution of neural networks in speech recognition, from early experiments to modern hybrid HMM/MLP approaches, with insights from a leading expert in the field.

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

Institute for Pure & Applied Mathematics (IPAM)

Emergence and Grokking in Simple Neural Architectures

Dive into emergence and grokking in simple neural architectures. Explore MLPs' remarkable behaviors, feature-learning kernel machines, and their implications for understanding modern deep learning phenomena.

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

Institute for Pure & Applied Mathematics (IPAM)

Scaling Insights from Infinite-Width Theory for Next Generation Architectures and Learning Paradigms

Explore scaling insights from infinite-width theory for advanced architectures and learning paradigms. Gain understanding of optimal scaling rules across various models and their impact on training stability and generalization.

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

NPTEL-NOC IITM

Neural Networks: Introduction to Artificial Neural Networks and Multilayer Perceptrons

Master the fundamentals of Neural Networks, including neuron structure, ANN components, training processes, and classification techniques.

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

NPTEL-NOC IITM

Neural Networks: Examples - MLP Classification and Regression

Explore practical applications of neural networks through MLP classification and regression examples in this concise tutorial.

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

Neural Breakdown with AVB

Kolmogorov Arnold Networks: An Alternative Paradigm for Deep Learning

Dive into an analysis of Kolmogorov Arnold Networks (KAN), exploring how this innovative approach combines the strengths of MLPs and splines to advance deep learning architecture and capabilities.

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

CodeEmporium

Evolution of Neural Networks: Zero to Hero

Explore the historical development of neural networks from McCulloch-Pitts neurons to backpropagation, covering key models like perceptrons, ADALINE, Hopfield networks, Boltzmann machines, and multilayer perceptrons.

• YouTube
• 2 hours 23 minutes
• On-Demand
• Free Video

Training Neural Networks in Python

278 ratings at LinkedIn Learning

Take a deep dive into the inner workings of neural networks by learning how to create one from scratch in Python.

• LinkedIn Learning
• 2 hours 7 minutes
• On-Demand
• Free Trial Available