Basics of Deep Learning For IoT Course


Welcome to Basics of Deep Learning For IoT Online Course with live Instructor using an interactive cloud desktop environment DaDesktop. Experience remote live training using an interactive, remote desktop led by a human being!

#artificial intelligence Training #computer vision Training #deep learning Training #image analysis Training #machine learning Training #machine vision Training #neural networks Training #speech recognition Training

7 hours

¥287,598


What is Deep Learning For IoT?


Deep learning (also known as deep structured learning) is part of a broader family of machine learning methods based on artificial neural networks with representation learning. Learning can be supervised, semi-supervised or unsupervised.

Deep-learning architectures such as deep neural networks, deep belief networks, repeated neural networks and convolutional neural networks have been applied to fields including computer vision, machine vision, speech recognition, language process, audio recognition, social network filtering, artificial intelligence, bioinformatics, drug style, medical image analysis, material examination and board game programs, wherever they need created results akin to and in some cases surpassing human knowledgeable performance.

Content

  • Introduction to Deep Learning
  • Various neural network architectures in IoT
  • Predictive power in IoT solutions
  • Predictive maintenance
  • Frameworks for image recognition and the indoor location
  • Speech recognition in IoT applications
  • Security for IoT solutions


Course Category:

   Internet of Things (IoT) Training

Last Updated:

  


Course Schedules


Date Time
July 4, 2022 (Monday) 09:30 AM - 04:30 PM
July 18, 2022 (Monday) 09:30 AM - 04:30 PM
August 1, 2022 (Monday) 09:30 AM - 04:30 PM
August 15, 2022 (Monday) 09:30 AM - 04:30 PM
August 29, 2022 (Monday) 09:30 AM - 04:30 PM
September 12, 2022 (Monday) 09:30 AM - 04:30 PM
September 26, 2022 (Monday) 09:30 AM - 04:30 PM


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