Context and problematic
To improve product recommendation, our client wants to set up an application which is capable of analyzing a person’s skin.
The goal is to offer the possibility
2 Data Architect, 1 Data Engineer
- Choice of different model architectures but also different preprocessing.
- Optimization Hyper Parameters.
- Production and documentation.
- Work on the interpretability of models. Visualization of internal features
- Work on image generation : how to provide information in a simple manner?
- Modify State-of-the-art architectures for our problem.
- Work on the optimization of the pipeline and the implementation of the training parallelization.
- Creation of an internal context.
Python, Tensorflow, Pytorch, Numpy, Pandas, Jupyter, Scikit-learn, OpenCV, PIL