Convolutional Neural Networks in TensorFlow

Cheers! Completed the Deeplearning.ai course Convolutional Neural Networks in TensorFlow.

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Following the roadmap, this is the 4th certificates on Coursera.org on the Machine Learning path.

Two big application areas are ready to commercialize Machine Learning with more powerful modern CPU or clouds, the computer visioning and NLP. Images and literal words are two main sources to extract features in our minds and so does the ML.

Course Keywords Completion Date School
Machine Learning Andrew Ng course as ML 101 Completed by 2017-11-05 Standford University
Introduction to Data Science in Python An intro to PyNum and Pandas in Data Science 4 weeks, Completed by 2018-04-08 University of Michigan
Convolutional Neural Networks in TensorFlow Applying CNN with Tensorflow and techniques avoiding overfitting and Transferred learning 4 weeks, Completed by 2019-05-31 deeplearning.ai/coursera
Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning TansorFlow and Typical ML technoiques and structures for Images 4 weeks, Completed by 2019-05-04 deeplearning.ai/coursera
Course TBD, Machine Learing in NLP Applying ML to NLP, chatbots TODO: next step TBD

As on above table, the next bite will be NLP. Let's move up, buddies!

ML_Roadmap_draft_1