Deep Learning Part 2

by Anusua Trivedi, Microsoft Data Scientist This is a blog series in several parts — where I describe my experiences and go deep into the reasons behind my choices. In Part 1, I discussed the pros and cons of different symbolic frameworks, and my reasons for choosing Theano (with Lasagne) as my platform of choice. Part 2 of this blog series is based on my upcoming talk at The Data Science Conference, 2016. Here in Part 2, I describe Deep Convolutional Neural Networks (DCNNs) and how Transfer learning and Fine-tuning helps better the training process for domain specific images. Please feel free to email me at trivedianusua23@gmail.com if you have questions. Introduction The eye disease Diabetic Retinopathy (DR) is a common cause of vision loss. Screening diabetic patients using fluorescein angiography images…


Link to Full Article: Deep Learning Part 2

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