Deep Learning for NLP using
Course
Online
Description
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Type
Course
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Level
Intermediate
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Methodology
Online
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Duration
Flexible
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Start date
Different dates available
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Online campus
Yes
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Delivery of study materials
Yes
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Support service
Yes
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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
Start date
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.
Reviews
Subjects
- NLP
- Algorithms
- Core Machine Learning
- Learning models
- CNN
- RNN
- LSTM
- GRU
- Framework
- TensorFlow
Course programme
At the end of this program the participant would:
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Understand Core Machine Learning and Deep Learning concepts
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Learn to optimize Deep Learning models.
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Understand Key Deep Learning algorithms e.g. CNN, RNN, LSTM, GRU
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Learn to utilize TensorFlow, a Deep Learning framework, to build DL models
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Apply Deep Learning models on various NLP(Natural Language Processing) and Computer Vision tasks.
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Learn to deploy a trained model in Production
Deep Learning for NLP using