AIDL Courses – Resrvoir

I’ve completed several courses from DeepLearning and Coursera for AIDL using Python.

One of the most interesting topics is Multi-head masked self-attention in Transformers. That’s got to be one of the most remarkable breakthroughs in Computer Science of our time. Then there’s back propagation at core of Neural Networks which is optimizing a cost function using derivatives from Calculus. If you think about it, that is really incredible also. IIRC backprop was invented/discovered in the 1950’s or so. I wonder what those researchers would think if they were alive today.

Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization

https://www.coursera.org/account/accomplishments/certificate/JDNU4ELTQ4Z5

Neural Networks and Deep Learning

https://www.coursera.org/account/accomplishments/certificate/5ESUBYG4LKYD

Natural Language Processing with Attention Models

Natural Language Processing with Sequence Models

Natural Language Processing with Probabilistic Models

Natural Language Processing with Classification and Vector Spaces

Sequence Models

Convolutional Neural Networks

Structuring Machine Learning Projects

Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization

Neural Networks and Deep Learning