ResNet Courses and Certifications

Institute for Pure & Applied Mathematics (IPAM)

Trustworthy Deep Learning

Explore robust, accurate, efficient, and private deep learning with theoretical guarantees, drawing insights from differential equations for trustworthy AI applications.

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

Deep Learning: Advanced Computer Vision (GANs, SSD, +More!)

6454 ratings at Udemy

VGG, ResNet, Inception, SSD, RetinaNet, Neural Style Transfer, GANs +More in Tensorflow, Keras, and Python

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

Packt

Advanced CNNs, Transfer Learning, and Recurrent Networks

Master advanced CNNs, transfer learning, and RNNs. Apply cutting-edge techniques to real-world datasets, from medical imaging to text generation. Gain practical skills through hands-on case studies and industry-relevant projects.

• Coursera
• 11 hours
• On-Demand
• Free Online Course (Audit)

Computer Vision Architecture Evolution: ConvNets to Transformers - Lecture 21

Explore the evolution of vision architectures, comparing SWIN and CNNs, and learn about modernizing ConvNets with macro and micro design changes for improved performance.

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

CAP6412 - Skip Connections Matter: On the Transferability of Adversarial Examples Generated with ResNets

Explore skip connections in ResNets, their impact on adversarial examples, and implications for model robustness and transferability in deep learning.

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

Yannic Kilcher

Axial-DeepLab - Stand-Alone Axial-Attention for Panoptic Segmentation

Explore a novel approach to image processing using axial-attention, combining positional embeddings and factorized self-attention to achieve state-of-the-art results in image segmentation tasks.

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

Yannic Kilcher

Deep Residual Learning for Image Recognition - Paper Explained

Explore deep residual learning for image recognition, covering the problem of depth, residual connections, and their impact on neural network performance in computer vision tasks.

• YouTube
• 31 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

Aleksa Gordić - The AI Epiphany

End to End Object Detection With Transformers

Comprehensive walkthrough of Facebook's DETR model, covering implementation details, attention visualization, and training process for end-to-end object detection using transformers.

• YouTube
• 1 hour 43 minutes
• On-Demand
• Free Video

Aleksa Gordić - The AI Epiphany

ConvNeXt- A ConvNet for the 2020s - Paper Explained

Explore ConvNeXt, a modern ConvNet outperforming vision transformers in computer vision tasks. Learn about its design, training, and performance across various applications.

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

TensorFlow

Distributed TensorFlow Training - Google I/O 2018

Learn to scale TensorFlow training across multiple GPUs and machines efficiently. Explore distribution strategies, performance optimization techniques, and practical implementation using Google Cloud.

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

Code With Aarohi

Explained Identity Block and Convolution Block in ResNet - Residual Networks

Practical explanation of identity and convolutional blocks in ResNet, including line-by-line code breakdown and discussion of residual concepts in deep learning architectures.

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

Derek Banas

Transfer Learning with TensorFlow - Live Coding and Explanation

Comprehensive live coding session on transfer learning with TensorFlow, covering model reuse, data processing, CNN architectures, and performance optimization techniques for efficient deep learning.

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

BlindAI - An Open-source Solution for Privacy-friendly AI Deployment

Explore BlindAI, an open-source project leveraging Confidential Computing for privacy-friendly AI deployment. Learn about end-to-end encryption, ONNX model support, and real-world applications in document analysis and medical imaging.

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

Samuel Chan

TorchVision Quick Start - Building an Image Classifier in 10 Minutes

Build an image classifier for orangutans and komodo dragons using PyTorch's torchvision library and a pretrained ResNet model. Learn to leverage pre-trained models for quick and effective computer vision tasks.

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