AI and Data Science Master the art of data science. Join now
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?
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
See matching posts in thread - Hyperparameter Tuning in Deep ...
See matching posts in thread - Next frontier for deep ...
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
This content was prepared for “For Coders and Non-Coders: Break into Deep Learning with Python and IBM Watson Studio,” a session at IBM Think 2021
A Beginner's Guide to Deep Learning 2021.pdf
Earlier this year with contributions made by IBM scientists, IBM introduced Deep Learning as a Service within Watson Studio , a rich set of cloud-based tools for developers and data scientists to help remove the barriers of training deep learning models in the enterprise. Deep learning and machine learning require expensive hardware and software resources as well as more expensive skilled scientists and developers. Deep learning, in particular, requires users to be experts at different levels of the stack, from neural network design to new hardware
1 Comment - no search term matches found in comments.
Tue July 23, 2019 | 08:30 AM - 04:30 PM ET McLean VA
See matching posts in thread - Python libraries for deep ......Th...
Taxonomy of Failures in Deep Learning Systems [Summary] Before publishing this paper, no in depth analysis of the failures in systems or projects implementing deep learning using Pytorch, Tensorflow and Keras has been published