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  • 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

Machine Learning with TensorFlow

20 Ratings 20 Learners

Dive into the future of artificial intelligence with our 'Machine Learning with TensorFlow' course. Master the essentials of machine learning and harness the power of TensorFlow, the industry-leading framework. From building neural networks to deploying models, this course provides hands-on experience for turning data into actionable insights. Elevate your skills and embark on a journey towards becoming a proficient machine learning practitioner. Enroll now and unlock the potential of intelligen

Machine Learning with TensorFlow Course Overview

This course provides a comprehensive introduction to machine learning using TensorFlow, one of the most popular libraries for building and deploying machine learning models. Through a series of hands-on exercises and projects

Machine Learning with TensorFlowTraining Key Features
  • Complimentary Python Programming Bootcamp
  • Designed for Working Professionals
  • IIITB Alumni Status
  • Dedicated Student Support
  • Exclusive Job opportunities Portal
  • 1 Free Deferral
  • Live coding classes and profile building workshops
  • WES equivalent to a PG Diploma.
Skills Covered
  • Understanding the architecture and core components of TensorFlow.
  • Proficiency in working with tensors
  • variables
  • and operations in TensorFlow.
  • Ability to build and train basic neural networks using TensorFlow.
  • Understanding different neural network architectures and their applications.
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Machine Learning with TensorFlow Course Curriculum

Benefits

Industry-relevant curriculum taught by leading faculty & industry experts using videos, case studies, hands-on projects and live online sessions

Pre-requisites

Before starting a Deep Learning with Python course, you should have a solid understanding of Python programming, including basic syntax, data structures, and object-oriented principles. Familiarity with fundamental machine learning concepts and algorithms is essential.

Course Content

  • Data Preprocessing and Feature Engineering
  • Building Machine Learning Models with TensorFlow
  • Supervised Learning: Classification and Regression
  • Neural Networks and Deep Learning Basics
  • Convolutional Neural Networks (CNN)
  • Recurrent Neural Networks (RNN)
  • Natural Language Processing with TensorFlow
  • Deploying Machine Learning Models
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