Deep Fast Vision: A Python Library for Accelerated Deep Transfer
  Learning Vision Prototyping
Fabi Prezja
Deep learning-based vision is characterized by intricate frameworks that
often necessitate a profound understanding, presenting a barrier to newcomers
and limiting broad adoption. With many researchers grappling with the
constraints of smaller datasets, there's a pronounced reliance on pre-trained
neural networks, especially for tasks such as image classification. This
reliance is further intensified in niche imaging areas where obtaining vast
datasets is challenging. Despite the widespread use of transfer learning as a
remedy to the small dataset dilemma, a conspicuous absence of tailored auto-ML
solutions persists. Addressing these challenges is "Deep Fast Vision", a python
library that streamlines the deep learning process. This tool offers a
user-friendly experience, enabling results through a simple nested dictionary
definition, helping to democratize deep learning for non-experts. Designed for
simplicity and scalability, Deep Fast Vision appears as a bridge, connecting
the complexities of existing deep learning frameworks with the needs of a
diverse user base.