Multilayer Perceptron 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
• On-Demand
• Free Video

Great Learning

Multilayer Perceptron - Back Propagation in Neural Networks

This tutorial on "Multi-Layer Perceptron" will help you to master all the core concepts of multi layer perceptrons and deep neural networks.

• YouTube
• 2 hours 8 minutes
• On-Demand
• Free Video

Great Learning

Multilayer Perceptron in Neural Networks - Machine Learning Tutorial

Comprehensive exploration of multilayer perceptrons in neural networks, covering their structure, applications, and practical implementation with hands-on demonstrations.

• YouTube
• 2 hours 7 minutes
• On-Demand
• Free Video

Deep Learning with Keras

39 ratings at Udemy

Deep Learning & Keras concepts, model, layers, modules. Build a Neural Network and Image Classification Model with Keras

• Udemy
• 12 hours 58 minutes
• On-Demand
• Paid Course

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

AI Doctoral Academy

Deep Learning - Multilayer Perceptron and Backpropagation - Lecture 3

Master multilayer perceptrons and backpropagation algorithms in this focused deep learning lecture by Prof. Pitas from the AI Doctoral Academy.

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

IIT Kharagpur;  NPTEL

Deep Learning

Comprehensive exploration of deep learning techniques, from traditional machine learning to modern architectures, with applications in computer vision and natural language processing.

• Swayam
• 12 weeks
• On-Demand
• Free Online Course

IIT Madras;  NPTEL

Modern Computer Vision

Explore classical and deep learning approaches to computer vision, covering low-level vision, 3D geometry, mid-level vision, and high-level vision tasks. Gain practical skills applicable to various industries.

• Swayam
• 12 weeks
• On-Demand
• Free Online Course

Andrej Karpathy

Building Makemore - MLP

Implement a multilayer perceptron character-level language model, covering machine learning basics like model training, hyperparameter tuning, evaluation, and addressing under/overfitting.

• YouTube
• 1 hour 16 minutes
• On-Demand
• Free Video

USENIX

CSI NN - Reverse Engineering of Neural Network Architectures Through Electromagnetic Side Channel

Reverse engineering neural networks through electromagnetic side channels, revealing architecture details like activation functions, layers, neurons, and weights using non-invasive techniques on ARM Cortex-M3 microcontrollers.

• YouTube
• 23 minutes
• On-Demand
• Conference Talk

NDC Conferences

Deep Learning with TensorFlow

Interactive TensorFlow session: build deep learning models from basics to advanced concepts. Hands-on approach to creating and using models in applications, suitable for beginners and experienced developers alike.

• YouTube
• 1 hour 7 minutes
• On-Demand
• Conference Talk

Build Multilayer Perceptron Models with Keras

100 ratings at Coursera

Build and train a multilayer perceptron model using Keras to classify Reuters newswires into 46 topics. Gain hands-on experience with neural networks for text classification.

• Coursera
• 1 hour 30 minutes
• Finished
• Paid Course

IIT Guwahati;  NPTEL

Machine Learning and Deep Learning - Fundamentals and Applications

Explore machine learning and deep learning fundamentals, from traditional approaches to modern architectures. Gain practical skills to apply these techniques in solving real-world problems across various domains.

• Swayam
• 12 weeks
• Finished
• Free Online Course

IIT Kharagpur;  NPTEL

Deep Learning - IITKGP

Comprehensive deep learning course covering traditional ML to modern architectures, with hands-on applications in computer vision and NLP. Ideal for engineering students and professionals.

• Swayam
• 12 weeks
• Finished
• Free Online Course

NPTEL;  IISc Bangalore

Neural Networks for Signal Processing - I

Explore neural networks for signal processing, covering perceptrons, MLPs, SVMs, and more. Gain practical skills through theoretical and computer-based assignments using real data.

• Swayam
• 12 weeks
• Finished
• Free Online Course