Neural Network Architecture Courses and Certifications

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

Open Data Science

Learning with Limited Labels - ODSC West 2020

Explore advanced techniques for machine learning with limited labeled data, including domain adaptation, few-shot learning, and self-supervised learning to enhance model performance across diverse domains and novel categories.

• YouTube
• 40 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

Aladdin Persson

EfficientNet Paper Walkthrough

Comprehensive walkthrough of the EfficientNet paper, exploring model scaling, proposed methods, and results. Offers insights into innovative approaches for improving neural network efficiency.

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

Resemble AI

3D Deep Learning for Gaming with Srinath Sridhar and Stanford Artificial Intelligence

Explore 3D deep learning for gaming, covering human pose estimation, object reconstruction, and computer vision applications with Stanford AI expert Srinath Sridhar.

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

Yannic Kilcher

Feedback Transformers - Addressing Some Limitations of Transformers with Feedback Memory

Explores Feedback Transformers, an architecture that improves on standard Transformers by allowing higher-level representations to inform lower-level processing, enhancing performance on complex reasoning and long-range dependency tasks.

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

Yannic Kilcher

SpineNet - Learning Scale-Permuted Backbone for Recognition and Localization

Explores SpineNet, a novel CNN architecture using scale-permuted features and cross-scale connections, outperforming traditional models in object detection and classification tasks.

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

Devoxx

Tensorflow, Deep Learning and Modern Convolutional Neural Nets, Without a PhD

Explore modern convolutional neural networks and deep learning with TensorFlow. Learn practical tips, engineering best practices, and recent advances in image recognition without needing a PhD.

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

Devoxx

Tensorflow, Deep Learning and Modern RNN Architectures - Without a PhD

Explore modern RNN architectures and deep learning techniques for image recognition, natural language processing, and reinforcement learning. Gain practical tips and engineering best practices for applying these advanced technologies.

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

Devoxx

Tensorflow and Deep Reinforcement Learning, Without a PhD

Explore TensorFlow and deep reinforcement learning, covering neural network architectures, recent advances, and practical applications in image recognition, NLP, and AI game-playing.

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

Applied Algebraic Topology Network

RipsNet- Fast and Robust Estimation of Persistent Homology for Point Clouds

Estimating persistence diagrams of point clouds using neural networks for faster, more robust topological analysis. Overcomes computational complexity and sensitivity to outliers in practical applications.

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

The Full Stack

Convolutional Neural Networks - Full Stack Deep Learning - Spring 2021

Explore convolutional neural networks, from basic operations to advanced concepts like dilated convolutions and pooling. Learn about the classic LeNet architecture and gain insights into ConvNet implementation.

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

Black Hat

Deep Learning on Disassembly

Explore deep learning techniques applied to disassembly for malware identification, covering the process from raw binaries to model training and evaluation against active malware feeds.

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

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