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Thanks to Mentors Mr. Dong | Mr. Tan

This course teaches about Deep Learning, Computer Vision and Natural Language Processing.

Topic 1: Introduce DL and CV 

• Day 1: Introduction to Deep Learning and Neural Networks

• Day 2: Introduction to Convolutional Neural Networks ( CNNs )

Topic 2: Object Classification

• Day 3: Images Classification with CNNs

Model API

• Day 4: Transfer Learning and Fine-Tuning

Transfer Learning

Optuna

Mlflow

• Day 5: Handling Imbalanced Datasets
• Day 6: Sharing about Advance Techniques for Object Classification

VGG19 Onnx 16bit

VGG19 Onnx 32bit

ResNet18

• Day 7: Optimize model using ONNX and TensorRT

Topic 3: Object Detection

• Day 8: Introduction to Object Detection

• Day 9: Single-stage Object Detection: YOLO

• Day 10: Two-stage Object Detection: Faster R-CNN

• Day 10 (Optional): SOTA for Object Detection Problem

  Topic 4: Image Segmentation

• Day 11: Introduce to Image Segmentation

• Day 12: CNN for Segmentation

• Day 13: Advance Segmentation Techniques

• Day 14: Evaluation and Metrics for Segmentation

  Topic 5: Multi-modal Transformers

• Day 15: State-of-the-art in NLP

• Day 16:State-of-the-art in CV

• Day 17: Image2Text

• Day 18: Text2Image

• Day 19: Multi-modal model

• Day 20: Advanced techniques to speed up training

Help from you in contributing content would be very much appreciated!

This course has practical content that covers basic to advanced, from practising myself to applying for a job.