Get a crash course on the what there is to learn and how to go about learning more. Deep Learning presents a simplified explanation of some of the hottest topics in data science today: What is Deep Learning? What convolutional neural networks? Why is deep learning so powerful and what can it be used for?
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Deep Learning Frameworks allow for the easy construction of neural networks and have made Python the go-to language for Artificial Intelligence development. This webinar will show how deep learning can be used to help align developers and data scientists to a particular framework as well as demonstrate some examples of how IBM is extending the value of deep learning frameworks via open source projects, and how new advancements in NLP like transformers are changing how and why to use a particular framework
Wed May 20, 2020 | 02:00 PM - 03:00 PM ET
Agenda Machine Learning is having an impact on just about every industry
Wed March 27, 2019 | 08:30 AM - 04:30 PM ET McLean VA
Authors: Junfeng Liu , Yonggang Hu Published on December 19, 2017 / Updated on January 10, 2018 Link: http://ibm.biz/DynamicResilientElasticDeepLearning Summary The Elastic Deep Learning capabilities of IBM Spectrum Conductor Deep Learning Impact are designed for large scale distributed deep learning workloads
Today, we are excited to announce the release of IBM Z Deep Learning Compiler 5.0.0 , which supports the new Telum II processor on IBM z17. IBM Z Deep Learning Compiler is enabling AI workloads with continued improvement to efficiency and performance on z17 for our direct users and downstream exploiters via MLz and AI Toolkit for IBM Z and LinuxOne ’s IBM Z Accelerated for Triton Inference Server , both of which will embed the latest IBM Z Deep Learning Compiler 5.0.0 in their upcoming new release
IBM Spectrum Conductor Deep Learning Impact version 1.1 delivers an enterprise-class solution for deep learning. It is a new add-on to IBM Spectrum Conductor with Spark version 2.2.1 that enables data scientists to run distributed deep learning workloads
Watch the replay here Summary We identify some well-known software verification problems, using real-world examples from open-source projects and see how we might apply some deep learning principles to address them. In the various points where we may test the Java runtime, we find candidates for deep learning. What is required?
LearningOnDeepLearning_June18_2020_WUG.pdf
Today we are excited to announce the 4.3.0 update for the IBM Z Deep Learning Compiler (IBM zDLC)
IBM Z Deep Learning Compiler 4.2.0 Today we are excited to announce the 4.2.0 update for the IBM Z Deep Learning Compiler (IBM zDLC)