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All Courses

  • Data Science, Machine Learning and AI

  • DEVOPS

  • CLOUD COMPUTING

  • SOFTWARE DEVELOPMENT AND TESTING

  • IT SERVICE AND PROJECT MANAGEMENT

  • MOBILE & WEB DEVELOPMENT

  • CYBER SECURITY, NETWORKING & BLOCK CHAIN

  • DATABASES & BIG DATA

  • BUSINESS INTELLIGENCE

  • WINDOWS & VIRTUALIZATION

  • TESTING

DevOps Training Course Overview

Introduction, What is DevOps?, Waterfall vs Agile vs DevOps, DevOps Tools, SDLC Models

DevOps TrainingTraining Key Features

100% Money Back Guarantee

  • Who is Python Deep Learning Course for? Data Engineers Data Analyst Data Scientist Machine Learning Engineers Anyone who wants to add Deep Learning with TensorFlow skills to their profile Teams getting started on Deep Learning with TensorFlow projects Anyone who wants to understand the Deep Neural Networks
Skills Covered
  • What are the prerequisites for Python Deep Learning Course? Working Knowledge in Python Understanding of Machine Learning Models – Regression and Classification Working Knowledge of Python Machine Learning Module (scikit-learn)
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DevOps Training Course Curriculum

Benefits

At the end of Deep Learning with Python training participants will be able to: Understand core architecture of Deep Neural Networks Use TensorFlow and Keras Construct a computing environment and learn to install TensorFlow Develop TensorFlow graphs required for everyday computation

Pre-requisites

past 25 years developing and researching cutting-edge artificial intelligent systems. He has (co)founded several companies, advises high-tech startups and held appointments at AT&T (Executive Director of Research), Turn Inc., Xerox Research, Mitsubishi Research, and at Clairvoyance Corp. He teaches at UC Berkeley and has published six books, more than 50 research publications, and has over 20 patents in the areas of machine learning and information processing.

Course Content

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  • test
    • TRANINGS
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awsome training

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anil

awsome training