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This contains programming exercises from all courses within the Coursera DeepLearning.AI TensorFlow Developer Professional Certificate: (i) Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning; (ii) Convolutional Neural Networks in TensorFlow; (iii) Natural Language Processing in TensorFlow; (iv) Sequences, Time Series and Prediction

License: MIT License

Jupyter Notebook 99.63% Python 0.37%
artificial-intelligence convolutional-neural-networks coursera-deeplearning deep-learning deeplearning-ai laurence-moroney machine-learning natural-language-processing python sequence tensorflow time-series

coursera-tensorflow-developer-course's Introduction

Oluwaseun Adeyo

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  • ๐Ÿ‘€ I'm passionate about Software Engineering, Machine and Deep Learning, MLOps and Data Engineering. I am currently working in the field of Computer Vision, Image Processing, Biometrics and Pattern Recognition.

  • ๐Ÿ’ž๏ธ Iโ€™m looking to collaborate on Data Science and MLOps open source tools.


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airflow aws bash c cplusplus confluence docker fastapi flask git heroku jupyter kubernetes linux matlotlib numpy onnx opencv pandas python pytorch scala scikit_learn streamlit tensorflow

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