Supercharge Your Deep Learning Algorithms with Optimized Software
Offered By: EuroPython Conference via YouTube
Course Description
Overview
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.
Syllabus
Introduction
Agenda
Cancer Statistics
Gliomas
Segmentation
Lack of doctors
Data collection
Dataset
Flight Summary
Neural Network
Algorithm
Software tools
Software stack
Open source
Spark vs Hadoop
Taught by
EuroPython Conference
Related Courses
Neural Networks for Machine LearningUniversity of Toronto via Coursera Good Brain, Bad Brain: Basics
University of Birmingham via FutureLearn Statistical Learning with R
Stanford University via edX Machine Learning 1—Supervised Learning
Brown University via Udacity Fundamentals of Neuroscience, Part 2: Neurons and Networks
Harvard University via edX