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1
Introduction
2
Agenda
3
Cancer Statistics
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Gliomas
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Segmentation
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Lack of doctors
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Data collection
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Dataset
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Flight Summary
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Neural Network
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Algorithm
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Software tools
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Software stack
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Open source
15
Spark vs Hadoop
Description:
Discover optimization techniques to enhance the performance of deep learning algorithms on Intel architecture in this 22-minute EuroPython 2019 conference talk. Learn how to accelerate neural network training with Tensorflow using Intel® Math Kernel Library (Intel® MKL) and boost inferencing with Intel® nGraph and Intel® Distribution of OpenVINO™. Explore topics such as cancer statistics, gliomas, segmentation, data collection, neural networks, and comparisons between Spark and Hadoop. Gain insights into addressing the lack of doctors through advanced software tools and open-source solutions for improved medical diagnostics and data processing.

Supercharge Your Deep Learning Algorithms with Optimized Software

EuroPython Conference
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