Multilayer Perceptrons Courses and Certifications

Valerio Velardo - The Sound of AI

Computation in Neural Networks

Explore Multilayer Perceptrons: components, structure, and signal processing. Learn about neurons, weights, layers, and activations in neural networks for a comprehensive understanding of distributed computation.

• YouTube
• 23 minutes
• Self-Paced
• 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
• Self-Paced
• Free Video

Predicting CTR with Machine Learning in Python

Learn how to predict click-through rates on ads and implement basic machine learning models in Python so that you can see how to better optimize your ads.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

Google DeepMind: Design And Train Neural Networks

n this Google DeepMind course you will focus on the training process for machine learning models.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

Introduction to Machine Learning

3822 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 47 minutes
• Self-Paced
• Paid Course

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
• Self-Paced
• Free Video

The MLP Architecture: Activations & Initialization

Master MLP architecture by stacking layers, implementing ReLU and Softmax activations, and applying proper weight initialization techniques for effective neural network training.

• CodeSignal
• 2 hours
• Self-Paced
• Free Certificate

Training Neural Networks: the Backpropagation Algorithm

Master backpropagation algorithm fundamentals through hands-on implementation of loss functions, gradient descent mechanics, and weight optimization for effective neural network training.

• CodeSignal
• 3 hours
• Self-Paced
• Free Certificate

Credential

Neural Networks from Scratch using Python and Numpy

Master neural network fundamentals by building from scratch with Python and NumPy, covering neurons, backpropagation, and real-world applications.

• CodeSignal
• 10 hours
• Self-Paced
• Free Certificate
• 4 courses

JAX in Action: Neural Networks from Scratch

Master neural network fundamentals by building an MLP from scratch using JAX, tackling XOR classification with parameter management, forward propagation, and manual training loops.

• CodeSignal
• 2 hours
• Self-Paced
• Free Certificate

Beyond Pure JAX: Flax & Optax for Elegant ML

Discover how to build elegant neural networks using Flax modules and Optax optimizers, transforming JAX projects into structured, maintainable deep learning solutions.

• CodeSignal
• 2 hours
• Self-Paced
• Free Certificate

The MLP Architecture: Activations & Initialization in JavaScript

Master MLP architecture by building complete neural networks from scratch, implementing ReLU & Softmax activations, and applying proper weight initialization strategies in JavaScript.

• CodeSignal
• 2 hours
• Self-Paced
• Free Certificate

Training Neural Networks: the Backpropagation Algorithm

Master backpropagation and gradient descent to train neural networks effectively through hands-on implementation of loss functions, optimizers, and complete training loops.

• CodeSignal
• 3 hours
• Self-Paced
• Free Certificate

Credential

Build a Neural Network from Scratch in Javascript

Master neural network fundamentals by coding from scratch in JavaScript, covering neurons, backpropagation, and real-world ML applications without relying on black boxes.

• CodeSignal
• 10 hours
• Self-Paced
• Free Certificate
• 4 courses

The MLP Architecture: Activations & Initialization in R

Master MLP architecture in R by stacking layers, implementing ReLU and Softmax activations, and applying weight initialization strategies like He and Xavier for effective neural network training.

• CodeSignal
• 2 hours
• Self-Paced
• Free Certificate