Computer_Vision

This whole code base is adopted form "neuralearn.ai".

This was the start of my computer vision journey. I adopted Neuralearn Free Course of Computer Vision available on Youtube. The best tip is to make notes in initial. I have use "medium" alot for understanding a lot of concepts. I have read about 200+ articles throughout this course. You will enjoy this detailed 37 hours course alot.

I learned a lot form this course, objectives are shown below.

I think you need a lot of things as pre requisites for this course.

1. Good data Analysis skills and Machine Learning.
2. Mathematical understanding of Neural Network.

Things I learned:

1. TensorFlow Library

2. Data Handling & Data pipelines on Large Scale for various purpose.

3. Used a lot of models (CNNs, Visions models, GradCam, YOLO)

4. Studied Variety of metrices

5. Used TensorBoard and W&B like tools for External Analysis (MLOPs)

   TensorBoard

   W&B

6. Model Deployment

7. VAE & GAN