Deep Learning for NLP using

Course

Online

Price on request

Description

  • Type

    Course

  • Level

    Intermediate

  • Methodology

    Online

  • Duration

    Flexible

  • Start date

    Different dates available

  • Online campus

    Yes

  • Delivery of study materials

    Yes

  • Support service

    Yes

  • Virtual classes

    Yes

Artificial Intelligence (AI) has been transforming multiple industries. If you are looking to break into AI, this program will help you become adept at Deep Learning, one of the most sought after skill in technology. All the major advancements in AI can be attributed to the field of Deep Learning.

This program provides a thorough introduction to Deep Learning, and how it can be applied to various Natural Language Processing (NLP) and Computer Vision tasks. You will not only learn the theoretical foundations but also gain practice in implementing these concepts using TensorFlow, an Industry leading framework to build Deep Learning models. Throughout this program, students will gain practical know-how so that they can effectively apply Deep Learning techniques to solve new problems.

The program will also draw from numerous case studies and applications, you will also learn how to apply learning algorithms to build Chatbots, computer vision, etc.

Facilities

Location

Start date

Online

Start date

Different dates availableEnrolment now open

About this course

Participants are expected to have a basic understanding of Python programming. Participants should have a bachelor’s degree in engineering, science or economics.
Hardware & Software Requirements
Computer- preferably Windows 7 or higher/ Mac OS installed
Operating System- Windows (Version XP or later) / Mac OS X with XQuartz
Minimum 8 GB RAM on the system
TensorFLow Software.

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Reviews

Subjects

  • NLP
  • Algorithms
  • Core Machine Learning
  • Learning models
  • CNN
  • RNN
  • LSTM
  • GRU
  • Framework
  • TensorFlow

Course programme

Program Outcome

At the end of this program the participant would:

  • Understand Core Machine Learning and Deep Learning concepts

  • Learn to optimize Deep Learning models.

  • Understand Key Deep Learning algorithms e.g. CNN, RNN, LSTM, GRU

  • Learn to utilize TensorFlow, a Deep Learning framework, to build DL models

  • Apply Deep Learning models on various NLP(Natural Language Processing) and Computer Vision tasks.

  • Learn to deploy a trained model in Production

Deep Learning for NLP using

Price on request