Complete 5 ResNet Deep Learning Project From Scratch

Dive deep into the world of deep studying with the “Full 5 ResNet Deep Studying Initiatives From Scratch” course! This hands-on course is designed to information you thru constructing 5 sensible initiatives utilizing ResNet (Residual Networks), a revolutionary deep studying structure identified for its accuracy and effectivity in fixing complicated picture recognition duties.

Beginning with the basics of ResNet, you’ll discover its structure and perceive the significance of residual connections in overcoming vanishing gradient points. Every venture will sort out real-world issues, taking you step-by-step via knowledge preprocessing, mannequin constructing, coaching, analysis, and deployment.

Initiatives Coated:

1. Picture Classification: Construct a ResNet mannequin for multi-class picture classification duties.
2. Object Detection: Combine ResNet with YOLO or related frameworks for object detection.
3. Medical Picture Evaluation: Develop a ResNet mannequin for detecting illnesses from medical imaging datasets.
4. Picture Segmentation: Use ResNet as a spine for segmenting objects in complicated pictures.
5. Facial Recognition System: Practice a ResNet mannequin for correct facial recognition.

This course is good for:

1. AI and Machine Studying Practitioners: Professionals looking for hands-on expertise in making use of ResNet to real-world issues.
2. Software program Builders: Builders desirous to transition into AI or improve their abilities in laptop imaginative and prescient initiatives.
3. Information Scientists: Specialists seeking to broaden their data of ResNet for picture evaluation and associated functions.

By the top, you’ll have a sturdy understanding of ResNet and the flexibility to implement it in various functions.