"Hands-On Transfer Learning with Python", is an attempt to help practitioners get acquainted with and equipped to use these advancements in their respective domains. This book is structured broadly ...

Trask has done a great job of putting together a book that can serve both newbies and experienced Python deep learning developers who want to fill the gaps in their knowledge. But as Tywin ...

Learn More Transfer learning is a technique that’s risen to prominence in the AI and machine learning community over the past several decades. It refers to storing knowledge gained while solving ...

These APIs are designed to accomplish the following steps of any machine learning workflow The pykale supports graph, images, text and videos data that can be loaded by PyTorch Dataloaders and ...

Abstract: Transfer learning through the use of synthetic images and pretrained ... The synthetic images, generated using Blender-Python API, are clustered in a variety of configurations to cater to ...

The deep learning model, trained using transfer learning with the MobileNetV2 architecture, is deployed with the python flask framework and is able to accurately predict the bird species with 95% test ...

Hands-On Transfer Learning with Python is for data scientists, machine learning engineers, analysts and developers with an interest in data and applying state-of-the-art transfer learning ...