Multilayer Perceptrons Courses and Certifications

Credential

Build a Neural Network from Scratch in R

Master neural network construction in R from neurons to backpropagation, building your own library to tackle real-world ML challenges without relying on black-box solutions.

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

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

Deep Learning for Computer Vision

24 ratings at Coursera

Master CNNs, autoencoders, GANs, ResNet, and U-Net architectures to build powerful computer vision models for image classification, generation, and segmentation tasks.

• Coursera
• 14 hours 5 minutes
• Self-Paced
• Paid Course

Deep learning in Electronic Health Records - CDSS 2

Explore deep learning principles and architectures for electronic health records, focusing on time-series classification, imputation techniques, and encoding strategies using MIMIC-III database for clinical predictions.

• Coursera
• 1 day 7 hours 38 minutes
• Self-Paced
• Paid Course

CertNexus

Build Decision Trees, SVMs, and Artificial Neural Networks

14 ratings at Coursera

Learn to build decision trees, SVMs, and neural networks for machine learning and deep learning. Gain practical skills in constructing models to solve regression, classification, computer vision, and natural language processing problems.

• Coursera
• 21 hours 54 minutes
• Self-Paced
• Paid Course

Deep Learning

Master the fundamentals of neural networks, from MLPs and CNNs to RNNs and Transformers, through hands-on programming and practical training techniques for building modern AI systems.

• edX
• 6 weeks, 6-8 hours/week
• Self-Paced
• Free Online Course (Audit)

EDUCBA

Deep Learning with R: Build & Predict Neural Networks

Master neural network development in R through hands-on data preparation, visualization, regression modeling, and deep learning implementation with practical predictive applications.

• Coursera
• 9 hours 48 minutes
• Self-Paced
• Paid Course

Andrej Karpathy

Intro to Neural Networks and Backpropagation - Building Micrograd

Step-by-step guide to neural networks and backpropagation, covering core concepts, implementation in Python, and practical exercises. Ideal for beginners with basic Python knowledge.

• YouTube
• 2 hours 26 minutes
• Self-Paced
• Free Video

Coding Train

Neural Networks - The Nature of Code

Dive into neural networks from perceptrons to backpropagation with hands-on coding examples, matrix math, and practical projects like doodle classification.

• YouTube
• 8 hours 48 minutes
• Self-Paced
• Free Video

Coding Train

Neural Networks - Intelligence and Learning - Session 4

Dive into neural networks fundamentals, from perceptrons to multilayer networks, matrix math, feedforward algorithms, and backpropagation with hands-on coding challenges.

• YouTube
• 6 hours 51 minutes
• Self-Paced
• Free Video

Machine Learning Optimization Using Genetic Algorithm

377 ratings at Udemy

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

• Udemy
• 6 hours 33 minutes
• Self-Paced
• Paid Course

Stanford Seminar - Deep Learning in Speech Recognition

Explore deep learning's evolution and impact on speech recognition, from early AI to modern applications like Siri, covering key concepts, historical milestones, and practical implementations.

• YouTube
• 1 hour 13 minutes
• Self-Paced
• Free Online Course

Master PyTorch neural networks: MLPs, CNNs, RNNs, transformers (BERT/GPT), and multimodal models like CLIP for AI applications in vision, NLP, and beyond.

• Codecademy
• 5 hours
• Self-Paced
• Free Trial Available

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
• Self-Paced
• Free Online Course

Constructing and Training Neural Networks

1 rating at Udacity

Master the fundamentals of deep learning by building, training, and evaluating neural networks from scratch using PyTorch, covering architectures, loss functions, optimizers, and performance tuning.

• Udacity
• 15 hours
• Self-Paced
• Paid Course