Neural Network Architecture Courses and Certifications

Stanford Seminar 2022 - DeepMind's Perceiver and Perceiver IO: New Data Family Architecture

Exploring DeepMind's Perceiver architecture for flexible AI processing across diverse data types, offering domain-general solutions comparable to specialized models in various tasks.

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

Yannic Kilcher

LambdaNetworks- Modeling Long-Range Interactions Without Attention

Explore LambdaNetworks, a novel approach to modeling long-range interactions in AI without traditional attention mechanisms, offering improved efficiency and performance in computer vision tasks.

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

Valerio Velardo - The Sound of AI

Recurrent Neural Networks Explained Easily

Explore Recurrent Neural Networks: architecture, time series, and Back Propagation Through Time. Learn about simple RNN units and their applications in sequence processing tasks.

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

Dynamic Routing Between Capsules

Explore capsule networks, routing-by-agreement, and their applications in computer vision, with a focus on MNIST and multiMNIST datasets.

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

5 Minutes Engineering

Machine Learning and Neural Networks: Convolutional Neural Networks - Day 15

Explore Convolutional Neural Networks (CNN) in machine learning, understanding their architecture and applications in image processing and computer vision.

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

tinyML

A Review of Compression Methods for Deep Convolutional Neural Networks

Explore compression techniques for Convolutional Neural Networks, including pruning, distillation, and quantization, to optimize deployment on tinyML devices without compromising accuracy.

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

Scalable Parallel Computing Lab, SPCL @ ETH Zurich

Capturing Computation with Algorithmic Alignment

Explore algorithmic alignment in neural networks, its implications for architecture design, and its potential for building future intelligent systems.

• YouTube
• 1 hour 1 minute
• On-Demand
• Free Video

Center for Language & Speech Processing(CLSP), JHU

Introduction to Artificial Neural Networks - JSALT 2023

Explore artificial neural networks: fundamentals, architectures, and applications in this comprehensive introduction from JSALT 2023 workshop.

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

CodeEmporium

VGGNet - Deep Convolutional Neural Network Architecture Explained

Explore VGGNet architecture fundamentals: understand its depth, 3x3 convolution advantages, coding implementation, and performance comparison with AlexNet in this comprehensive tutorial.

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

Yacine Mahdid

GoogLeNet Deep Neural Network Explained - Inception V1 Architecture and Implementation

Explore GoogLeNet's 22-layer deep neural network architecture, its Inception modules, and Pytorch implementation. Learn about its design principles and performance on image classification tasks.

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

Introduction to Drawing Recognition and CNN Fundamentals

Master CNN fundamentals and build models to recognize hand-drawn sketches through practical exercises with MNIST dataset visualization and enhanced neural network architectures.

• CodeSignal
• 1 hour
• On-Demand
• Free Certificate

Drawing Recognition with CNNs for Sketches

Master CNN architecture and training techniques to build effective hand-drawn sketch recognition systems with practical model evaluation and performance optimization methods.

• CodeSignal
• 2 hours
• On-Demand
• Free Certificate

Fractal Analytics

Coding with Generative AI

22 ratings at Coursera

Explore Generative AI for coding, learning fundamentals, neural networks, and practical applications to enhance code quality and efficiency in real-world challenges.

• Coursera
• 11 hours 27 minutes
• On-Demand
• Paid Course

EDUCBA

Master CNNs with Python: Build, Train & Evaluate Models

19 ratings at Coursera

Dive into CNN development with Python to design, build, train and evaluate deep learning models for image classification through hands-on projects and real-world applications.

• Coursera
• 4 hours 37 minutes
• On-Demand
• Paid Course

EDUCBA

Deep Learning RNN & LSTM: Stock Price Prediction

11 ratings at Coursera

Master RNN and LSTM techniques to build stock price prediction models using real Apple data, from preprocessing to evaluation with hands-on Python implementation.

• Coursera
• 4 hours 9 minutes
• On-Demand
• Paid Course