Deep Learning Part 3
by Anusua Trivedi, Microsoft Data Scientist This is part 3 of my series on Deep Learning, 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. A very recent benchmarking paper compares CNTK with Caffe, Torch & TensorFlow, and CNTK performs substantially better than all the other three frameworks. In Part 2, I describe Deep Convolutional Neural Network (DCNN) and how Transfer learning and Fine-tuning helps better the training process for domain specific images. This Part 3 of the series is based on my talk at PAPI 2016. In this blog, I show re-usability of trained DCNN model by combining it…
Link to Full Article: Deep Learning Part 3
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