Published 05/2022MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 ChGenre: eLearning | Language: English + srt | Duration: 74 lectures (3h 44m) | Size: 2 GB
Understand Deep Learning basics – Neuron, Neural Network and Activation Function
Learn architecture and design of Object Detection Models like Faster R-CNN, RetinaNet, SDD, YOLO etc
Develop Object Detection applications like Automatic License Number Plate etc
Learn architecture and design of Image Classification Models such as SVM, VGG-16, ResNet50, InceptionV3 etc
Develop Image Classification applications like Traffic Sign Board Detection etc
Learn design of Object Tracking Frameworks like Meanshift, SORT and DeepSORT
Basic Programming skills in Python
No prior knowledge of Mathematics or Rigorous Coding
Stay up-to-date with the leading-edge in the Machine Learning and develop an industry portfolio through this course by learning Computer Vision and Deep Learning foundational concepts, Object Detection, Image Classification and Object Tracking.