Complete Deep Learning Specialization Course Uploaded:

I'm excited to share a major achievement: I've completed the Deep Learning Specialization from Coursera's DeepLearning.AI! 🎓

It all started in 2020, during the pandemic. I decided to start learning Deep Learning, and my first touch with deep learning was Neural Networks and Deep Learning. After taking gap years for reasons of ex-change studies in the U.S. and a teaching job after coming back from exchange, I got back into the specialization course to finish it while I was doing my second term of studies in robotics and AI engineering at King Mongkut's Institute of Technology Ladkrabang.

One course at a time, I finished all the courses in the specialization. I studied the second course, Improving Deep Neural Networks: Hyperparameter Tuning, Regularization, and Optimization, during my second term at KMITL.

Then, I moved on to understanding convolutional neural networks, which were super useful for my last project on object detection using OpenCV and YOLOv5.

After that, I moved on to learning sequence models, which helped me understand how to work with sequences of data. At the same time, I am learning how to structure machine learning projects.

Completing these courses wasn't just about getting a certificate. It was about gaining practical skills I can use right away. At the moment, I'm eager to put all this new knowledge into action in my upcoming projects.

A big shoutout to the incredible instructors, Andrew Ng, Younes Bensouda Mourri, and Kian Katanforoosh, for guiding me through this journey.

Thanks for celebrating this milestone with me! 💪🚀