Deep Learning Applications

Within the framework of the very good by Jeremy Howard and Rachel Thomas, many fields of deep learning are treated state-of-the-art theoretically and always practically. This was my start. Since then, I have been involved in various areas of deep learning.

Amongst others the area of style transfer: Style Transfer

or text generation or DQN reinforcement learning:

or the very good sales forecast of a supermarket branch based on location, date, holidays, current promotions and other parameters...

And much more (image classification, object recognition, automatic image caption generation,...)

Highly exciting and highly recommended! Techstack:

• Python
• Pytorch
• Keras
• fastai
• huggingface