Name: ONLINE WEBINAR: Deep Learning Using TensorFlow and TensorFlow-Slim
Start: 2016-12-21T11:00:00-08:00
End: 2016-12-21T12:00:00-08:00
Location: ONLINE

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Do you want learn how CNNs work and how to build and train such networks?

Join the webinar (http://paas.ly/2fCxUf8) to learn more!

https://www.altoros.com/blog/wp-content/uploads/2016/11/Webinar-December-21st_Presentation_Tensorflow.jpg

In this webinar, Dipendra Jha (https://www.linkedin.com/in/dipendra009?authType=OUT_OF_NETWORK&authToken=k4Fx&locale=en_US&srchid=854662381478188385692&srchindex=1&srchtotal=2413&trk=vsrp_people_res_name&trkInfo=VSRPsearchId%3A854662381478188385692%2CVSRPtargetId%3A194620481%2CVSRPcmpt%3Aprimary%2CVSRPnm%3Atrue%2CauthType%3AOUT_OF_NETWORK), Ph.D. student in Computer Science from Northwestern University, will provide a brief introduction to Deep Learning and TensorFlow, followed by actual implementation and demonstration of MNIST image classification using convolutional neural networks (CNNs).

Agenda:

Introduction to the Fundamentals of Deep LearningThe Strengths of Using TensorFlowImage Classification Using CNNs for MNIST DatasetHow CNNs work and How to Build and Train Such NetworksThe Usage of TensorFlow for large-scale application of Deep Learning to Big Datasets in IndustryQ&A

Join the webinar to (http://www.altoros.com/blog/event/deep-learning-using-tensorflow-and-tensorflow-slim/#get_record):

Learn more about the fundamentals of deep learning, followed by the strengths of using TensorFlow

Look about image classification using CNNs for MNIST datasetDiscover how CNNs work and how to build and train such networks

Examine how TensorFlow can be used for large-scale application of deep learning to big datasets in industry

Who should attend:

This webinar will be of interest to Data Scientists, Software Engineers and Entrepreneurs in the areas of Connected Cars, Internet of Things/Industrial Internet, Medical Devices, Financial Technology (blockchain) and predictive apps/APIs of all sorts.

About the presenter:

Dipendra Jha (https://www.linkedin.com/in/dipendra009?authType=OUT_OF_NETWORK&authToken=k4Fx&locale=en_US&srchid=854662381478188385692&srchindex=1&srchtotal=2413&trk=vsrp_people_res_name&trkInfo=VSRPsearchId%3A854662381478188385692%2CVSRPtargetId%3A194620481%2CVSRPcmpt%3Aprimary%2CVSRPnm%3Atrue%2CauthType%3AOUT_OF_NETWORK) is is a fourth-year Ph.D. student in Computer Science from Northwestern University. He is exploring the field of Deep Learning and Machine Learning using High Performance Computing (HPC) systems in the CUCIS lab under Prof. Alok Choudhary. His research focuses on scaling up deep learning and machine learning models using HPC (CPU and GPU) clusters, and their application to Material Science and Social Media Analytics. Before this, he completed his Master’s in Computer Science from Northwestern University. He worked in the field of Computer Networks, Distributed Systems and Cellular Networks in Aqualab under Prof. Fabian Bustamante. During this period, his research spanned from Web Page Performance Optimizations, Network Measurements and Community WiFi to Inter-domain Routing in Cellular Networks, IXPs and Content Distribution Networks (CDNs). He completed his Bachelors’ in Computer Engineering from Tribhuvan University in Nepal.

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