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Face Generation In this project, you'll use generative adversarial networks to generate new images of faces.
Jupyter Notebook 50.02%
Python 0.03%
HTML 49.95%
dlnd_face_generation's Introduction
![Linkedin: erickdiazs](https://camo.githubusercontent.com/86c325ac5c6bd13aba893c7eb56e6885080fd78b18a5abdda59305d9b9bd5a76/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f2d657269636b6469617a732d626c75653f7374796c653d666c61742d737175617265266c6f676f3d4c696e6b6564696e266c6f676f436f6c6f723d7768697465266c696e6b3d68747470733a2f2f7777772e6c696e6b6564696e2e636f6d2f696e2f657269636b6469617a732f)
- Data Base: SQL, NoSQL, Data Warehouse
- Scripting languages: Python, R, PySpark
- ML Frameworks : Tensorflow, Pythorch
- Big Data Ecosystems: Apache Spark,Hadoop, MapReduce, HDFS, HBase, Zookeeper, Hive
- Machine Learning
- Bioinformatics
- Robotics
- Nonlinear dynamics and chaos
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