Currently, Deep learning has been applying to various areas such as computer vision & pattern recognition, NLP, data science & analysis, audio processing, etc. And Flask API is now very popular tool to deploy the deep learning & machine learning engines. These give you the kind, powerful & efficient platform to realize your beautiful dream and great hope on good life time by time!
I've many experiences in various types of deep learning application areas:
1. Object detection and recognition
2. OCR, License Plate Recognition with SQL/Mongo database
3. Face recognition and verification; landmarks, emotion; age & gender
4. Detection of spoof faces (face2face, replay attach, 3D mask face attack, photo-printed attack)
5. Recognition of spoof voice attack.
6. Analysis of text: Topic modelling, word cloud, feature vector
7. Classification of emails, resumes, text-data (ex: medical chart)
8. prediction of lottery number
9. analysis of experimental data
10. data crawling & scrapping
Also, I've a strong and deep theoretical background on all the details of deep learning and machine learning models and techniques such as CNN, RNN, GAN, CRNN. So, can read the recent paper and articles to acquire its basic idea and technology for new application. Tensorflow & pytorch are mastered thoroughly from A to Z.
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My kindness, rich realistic experiences and solid theoretical supports yield high credit, great success and forever friendship for me and you!