OCR
Optical Character Recognition using A.I.
Classes : 10 Days : 1 month Duration : Weekdays / Weekends
Optical Character Recognition (OCR) or Reading text from image or reading hand written characters using an AI technique. Among many application, these are used in multiple AI software`s today, be it Tesla or Google translate.
In this professional training, you shall be exposed to a new way of thinking on how to tell Machines to READ images like a human, how to scan documents using a AI techniques.
Enrol today and gain the skills needed ! This training is best suited for IT, data management, and analytics professionals looking to gain expertise in AI and ML including: Software Developers and Architects, Analytics Professionals, Senior IT professionals, Testing and Mainframe Professionals, Data Management Professionals, Business Intelligence Professionals, Project Managers, Aspiring Data Scientists, Graduates looking to begin a career in Big Data Analytics and Data Science or AI
In this professional training, you shall be exposed to a new way of thinking on how to tell Machines to READ images like a human, how to scan documents using a AI techniques.
Enrol today and gain the skills needed ! This training is best suited for IT, data management, and analytics professionals looking to gain expertise in AI and ML including: Software Developers and Architects, Analytics Professionals, Senior IT professionals, Testing and Mainframe Professionals, Data Management Professionals, Business Intelligence Professionals, Project Managers, Aspiring Data Scientists, Graduates looking to begin a career in Big Data Analytics and Data Science or AI
- You need to have intermediate to advanced Python experience. You are familiar with object-oriented programming. You can write nested for loops and can read and understand code written by others.
-Intermediate statistics background. You are familiar with probability.
-Intermediate knowledge of machine learning techniques. You can describe backpropagation, and have seen a few examples of neural network architecture (preferrably a recurrent neural network or a long short-term memory network).
-You have seen or worked with a deep learning framework like TensorFlow, Keras, or PyTorch before.
-Intermediate statistics background. You are familiar with probability.
-Intermediate knowledge of machine learning techniques. You can describe backpropagation, and have seen a few examples of neural network architecture (preferrably a recurrent neural network or a long short-term memory network).
-You have seen or worked with a deep learning framework like TensorFlow, Keras, or PyTorch before.
How scrape image from PDF
How to extract text from images
Text detection
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OCR Techniques
How to extract text from images
Text detection
Face detection
OCR Techniques
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Student Reviews
Bhawana
Fabulous NLP + ML course
I have eleven plus years of experience taking training courses. I do not usually complete surveys.
Your instructor was excellent, the best I've experienced on a software subject, and I couldn't imagine him doing a better job of seamlessly walking students through a breadth of information for such complex subject like AI and ML. he did a fabulous job pacing everything and addressing student questions. I am very impressed.
Harish
Excellent ML course!
The course was well structured and easy to understand. Good pace of learning.
The institute believes to provide knowledge as well as guidance in detail to each & every student.
I completed my ML course from the institute. Their international exp does help a lot !
Thanks for the training sir.