Hi all,

Are you a data science engineer/ biomedical researcher/ imaging analyst,  or a deep learning enthusiast wishing to learn and improve your computer vision skills by hands on project based experience? Then do check out and complete the four project series
published by Manning Publications in the link below.

https://www.manning.com/bundles/transfer-learning-for-dicom-image-classification-ser 

In this series, you will gain familiarity with medical image datasets, especially the image data format that is used in biomedical research and industry. You will then build deep neural networks to analyze them. You will gain the following skills if you
complete one or more projects in the series.

Building VGG16 and ResNet convolutional deep learning architectures with basic functional components
Gain familiarity with the image data format (Dicom) used in biomedical research and industry
Deploying 2 different deep learning models using Keras
Tuning model hyper-parameters to improve performance
Studying model performance using training and validation curves
Use transfer learning for training VGG16 and ResNet models
Making predictions using deep learning models and Keras
Implementing Grad-CAM visualization
Implementing deep learning model performance metrics

Best,
Anuradha Kar, PhD (Project Author/ Mentor)
École Normale Supérieure de Lyon, France

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