Computer Vision

Computer Vision

Machine Learning University via YouTube Direct link

Accelerated Computer Vision 1.1 - Intro

1 of 28

1 of 28

Accelerated Computer Vision 1.1 - Intro

Class Central Classrooms beta

YouTube playlists curated by Class Central.

Classroom Contents

Computer Vision

Automatically move to the next video in the Classroom when playback concludes

  1. 1 Accelerated Computer Vision 1.1 - Intro
  2. 2 Accelerated Computer Vision 1.2 - Introduction to Machine Learning
  3. 3 Accelerated Computer Vision 1.3 - ML Applications
  4. 4 Accelerated Computer Vision 1.4 - Supervised and Unsupervised Learning
  5. 5 Accelerated Computer Vision 1.5 - Data Processing - Imbalanced Data
  6. 6 Accelerated Computer Vision 1.6 - Underfitting, Overfitting and Model Evaluation
  7. 7 Accelerated Computer Vision 1.7 - Computer Vision Applications
  8. 8 Accelerated Computer Vision 1.8 - Image Representation
  9. 9 Accelerated Computer Vision 1.9 - Neuron & Activation Functions
  10. 10 Accelerated Computer Vision 1.10 - Neural Networks: Components and Training
  11. 11 Accelerated Computer Vision 1.11 - Convolutions (Filters)
  12. 12 Accelerated Computer Vision 1.12 - Padding, Stride and Pooling
  13. 13 Using Jupyter Notebooks on Sagemaker
  14. 14 Accelerated Computer Vision 2.1 - Computer Vision Datasets
  15. 15 Accelerated Computer Vision 2.2 - LeNet
  16. 16 Accelerated Computer Vision 2.3 - AlexNet
  17. 17 Accelerated Computer Vision 2.4 - Transfer Learning
  18. 18 Accelerated Computer Vision 3.1 - VGG and Batch Normalization
  19. 19 Accelerated Computer Vision 3.2 - ResNet
  20. 20 Accelerated Computer Vision 3.3 - Object Detection Applications
  21. 21 Accelerated Computer Vision 3.4 - Bounding Box and Anchor Box
  22. 22 Accelerated Computer Vision 3.5 - Sliding Window Method and Non-max Suppression
  23. 23 Accelerated Computer Vision 3.6 - Region Based Convolutional Neural Networks (R-CNNs)
  24. 24 Accelerated Computer Vision 3.9 - Fully Convolutional Networks
  25. 25 Accelerated Computer Vision 3.7 - You Only Look Once (YOLO) model
  26. 26 Accelerated Computer Vision 3.8 - Semantic Segmentation
  27. 27 Accelerated Computer Vision 3.10 - U-Net
  28. 28 MLU Channel Introduction

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.