Neural Network Architecture Courses and Certifications

Envato Tuts+

Inception V2 Neural Network Architecture Tutorial

Learn advanced deep learning techniques with Inception V2, exploring its architecture and applications in computer vision tasks.

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

Simons Institute

How Do Transformers Work? - A Deep Dive into Neural Network Architecture

Dive into the fundamental mechanics and architecture of transformer models, exploring their key components and operational principles through expert insights from MIT's research.

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

Deep Learning Crash Course for Beginners

2 reviews

Comprehensive introduction to deep learning fundamentals, covering neural networks, learning types, architectures, and model development steps. No coding required, ideal for beginners.

• freeCodeCamp
• 1-2 hours
• On-Demand
• Free Video

Envato Tuts+

Inception v1 Neural Network Architecture Tutorial

Learn to implement Google's Inception v1 architecture for image classification, exploring its innovative design and performance benefits.

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

tinyML

Power Efficient Neural Network Based Hardware Architecture for Biomedical Applications

Power-efficient neural network hardware architecture for biomedical applications, focusing on sleep apnea detection using ECG and SpO2 data. Introduces SABiNN technique for reduced power consumption and compact design while maintaining accuracy.

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

Yacine Mahdid

DenseNet Deep Neural Network Architecture Explained

Comprehensive explanation of DenseNet architecture, including its benefits and implementation in PyTorch. Covers theory, results, and practical coding walkthrough for deep learning enthusiasts.

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

Computer Vision for Data Scientists

102 ratings at LinkedIn Learning

Get a comprehensive introduction to computer vision and learn how to train models and neural networks for image classification.

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

VGG From Scratch - Deep Learning Theory and PyTorch Implementation

Master VGG neural network architecture through hands-on PyTorch implementation, covering theory, mathematics, and practical deep learning techniques for computer vision applications.

• freeCodeCamp
• 5 hours 25 minutes
• On-Demand
• Free Video

Andrej Karpathy

Building Makemore - Building a WaveNet

Dive deep into building a WaveNet-like convolutional neural network, exploring torch.nn, and understanding the typical deep learning development process through hands-on implementation.

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

Yannic Kilcher

Attention Is All You Need

Explore the groundbreaking Transformer architecture, revolutionizing sequence transduction with attention mechanisms. Learn its superior performance in machine translation and generalization to other NLP tasks.

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

Tech with Tim

Python Neural Networks - Tensorflow 2.0 Tutorial - What Is a Neural Network?

Explore neural networks using TensorFlow 2.0, covering key concepts, architecture, and practical implementation in Python for beginners and intermediate learners.

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

Krish Naik

LSTM Recurrent Neural Network In Depth Intuition

Gain in-depth intuition on LSTM Recurrent Neural Networks, exploring memory cells, operations, and layers for advanced understanding of this powerful deep learning architecture.

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

Steve Brunton

Physics Informed Machine Learning: High-Level Overview of AI and ML in Science and Engineering

1 review

Explore how to integrate physics into machine learning, enhancing model accuracy and efficiency in engineering applications. Learn to leverage prior physical knowledge across all stages of the ML process.

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

deeplizard

CNN Weights - Learnable Parameters in PyTorch Neural Networks

Explore PyTorch's inner workings, including OOP concepts, convolutional and linear layer weight tensors, and matrix multiplication for deep learning in neural networks.

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

deeplizard

Build PyTorch CNN - Object-Oriented Neural Networks

Learn to build a convolutional neural network using PyTorch for computer vision and AI applications. Gain hands-on experience in implementing object-oriented neural network architectures.

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