Computer Vision & AI

✅ Short introduction to computer vision

✅ Digital images

✅ Structure of human eye and vision

✅ Color models15m

✅ Image processing goals and tasks

✅ Contrast and brightness correction

✅ Image convolution

✅ Edge detection

✅ Describe Apache Cassandra

✅ Common use cases - large deployments

✅ Cassandra architecture

✅ Select and install a Cassandra version

✅ Configure for a single node, multinode

✅ Start and stop a Cassandra instance

✅ Installing on Windows, Mac, Ubuntu

✅ Basic CLI Commands

✅ Recap: Image classification

✅ AlexNet, VGG and Inception architectures

✅ ResNet and beyond1

✅ Fine-grained image recognition

✅ Detection and classification of facial attributes

✅ Content-based image retrieva

✅ Computing semantic image embeddings using convolutional neural networks

✅ Employing indexing structures for efficient retrieval of semantic neighbors

✅ Face verification

✅ The re-identification problem in computer vision

✅ Facial keypoints regression

✅ CNN for keypoints regression

✅ Object detection problem

✅ Sliding windows

✅ HOG-based detector

✅ Detector training

✅ Viola-Jones face detector

✅ Attentional cascades and neural networks

✅ Region-based convolutional neural network

✅ From R-CNN to Fast R-CNN

✅ Faster R-CNN

✅ Region-based fully-convolutional network

✅ Single shot detectors

✅ Speed vs. accuracy tradeoff

✅ Fun with pedestrian detectors

✅ Object tracking and action recognition

✅ Introduction to video analysis

✅ Optical flow

✅ Deep learning in optical flow estimation

✅ Visual object tracking

✅ Examples of visual object tracking methods1

✅ Multiple object tracking

✅ Examples of multiple object tracking methods

✅ Introduction to action recognition

✅ Action classification

✅ Action classification with convolutional neural networks

✅Action localization

✅ Image segmentation3m

✅ Oversegmentation4m

✅ Deep learning models for image segmentation

✅ Human pose estimation as image segmentation

✅ Style transfer5m

✅ Generative adversarial networks7m

✅ Image transformation with neural networks