Completed
The Visual Cortex
Class Central Classrooms beta
YouTube videos curated by Class Central.
Classroom Contents
Convolutional Neural Networks
Automatically move to the next video in the Classroom when playback concludes
- 1 Intro
- 2 Vision: Evolutionary Origins
- 3 The Visual Cortex
- 4 Images are Numbers
- 5 Tasks in Computer Vision
- 6 High Level Feature Detection
- 7 Manual Feature Extraction
- 8 Learning Feature Representations
- 9 Fully Connected Neural Network
- 10 Using Spatial Structure
- 11 Applying Filters to Extract Features
- 12 Filters to Detect X Features
- 13 The Convolution Operation
- 14 Producing Feature Maps
- 15 Feature Extraction with Convolution
- 16 Convolutional Layers: Local Connectivity
- 17 Introducing Non-Linearity
- 18 Pooling
- 19 CNNs for Classification: Feature Learning
- 20 CNNs: Training with Backpropagation
- 21 ImageNet Dataset
- 22 ImageNet Challenge: Classification Task
- 23 An Architecture for Many Applications
- 24 Beyond Classification
- 25 Semantic Segmentation: FCNS
- 26 Driving Scene Segmentation
- 27 Object Detection with R-CNN
- 28 Image Captioning using RNNS
- 29 Class Activation Maps (CAM)
- 30 Data, Data, Data
- 31 Deep Learning for Computer Vision: Impact
- 32 Impact: Face Recognition
- 33 Impact: Self-Driving Cars
- 34 Impact: Medicine nature
- 35 Deep Learning for Computer Vision: Review
