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Deep Learning using Python is a six-day, instructor-led classroom course which covers the advanced topics in machine learning that involves deep learning models like neural networks. The course will be taught using in tensor flow package of Python. The course is designed for those professionals who are familiar with building machine learning models using Python. Topics covered are overview of Python programming, introduction to neural network and tensor flow, convolutional neural network, recurrent neural network and auto encoders.

Prerequisites

  • Completion of Machine Learning using Python course or thorough working knowledge on building machine learning models using Python 

Who Should Attend?

  • Professionals interested in building deep learning models like neural networks
  • Professionals who are keen to diversify into text analytics, image processing, video and audio processing 
  • Aspirants from management or engineering who have thorough knowledge on supervised and unsupervised modelling using Python 

Course outcomes

  • Understanding of deep learning concepts
  • Knowledge on convolutional neural network, recurrent neural network and auto encoders.
  • Certification of completion on successfully completing the course requirements
  • Participants who successfully complete all the three courses will be awarded with a data scientist certificate

Course content

Introduction to deep learning

Installing and set up

Overview of Python programming

Numpy overview

Pandas overview

Scikit overview

Introduction to neural network

Tensor flow basics

Convolutional neural network

Recurrent neural network

Auto encoders

Duration: Six days

Training locations: Bengaluru, Delhi, Mumbai, Pune, Hyderabad, Kolkata, Chennai

Enroll Now

Call us : +91 9061 342 432 (Raynette Furtado)

Mail us : in-fmdxtraining@kpmg.com


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 KPMG in India reserves the right to restrict the number of participants per batch and to cancel or postpone any batch

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