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Description

Deep learning is fast becoming among the most popular trends to be embraced by high profile companies.  Powered by big data, Deep Learning has made business more viable across healthcare, genomics, cybersecurity, e-commerce, agriculture and other sectors.

KnowledgeHut brings you a comprehensive course that will help you understand Deep learning and use it to generate business value. The workshop will help you learn the foundations of Deep Learning and understand how to build neural networks. You will also learn about Adam, Dropout, BatchNorm, Convolutional networks, RNNs, LSTM, and more. You will work on real life case studies to get hands-on experience. You will master not only the theory, but also see how it is applied in industry by learning to build models using Keras and Tensorflow.

A career in Deep Learning is much sought after because of the billions of dollars being spent on it and the need for Deep Learning experts. This workshop will help you gain the technical expertise for this technology and land lucrative positions.

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What You Will Learn

1. Foundation of Deep Learning

Learn about the basics on which Deep Learning has been constructed

2. Basics of Neural Networks

Understand the biological inspiration behind Neural Networks

3. Introducing Deep Learning

Understand industry best-practices for building deep learning applications

4. Computer Vision

Learn to apply your knowledge of CNNs in computer vision

5. Sequence Models

Gain knowledge about variants of RNN such as Long Short Term Memory

6. Natural Language Processing (NLP)

Learn to use word vector representations and embed layers to train recurrent neural networks

7. Work across industries

Learn to apply technologies with outstanding performances in a wide variety of industries

7. Work across industries

Learn to apply technologies with outstanding performances in a wide variety of industries

1. Foundation of Deep Learning

Learn about the basics on which Deep Learning has been constructed

2. Basics of Neural Networks

Understand the biological inspiration behind Neural Networks

3. Introducing Deep Learning

Understand industry best-practices for building deep learning applications

4. Computer Vision

Learn to apply your knowledge of CNNs in computer vision

5. Sequence Models

Gain knowledge about variants of RNN such as Long Short Term Memory

6. Natural Language Processing (NLP)

Learn to use word vector representations and embed layers to train recurrent neural networks

7. Work across industries

Learn to apply technologies with outstanding performances in a wide variety of industries

1. Foundation of Deep Learning

Learn about the basics on which Deep Learning has been constructed

Prerequisites
  • We recommend applicants to have knowledge of programming (preferably in Python)
  • Familiarity with statistics, algebra, probability and exposure to data analysis is preferred.

Who should Attend?

Those interested in the field of deep learning and its applications.
Those wanting to use Deep learning techniques for effective analysis of large datasets
Software or Data Engineers interested in deep learning.

KnowledgeHut Experience

Instructor-led Live Classroom

Interact with instructors in real-time— listen, learn, question and apply. Our instructors are industry experts and deliver hands-on learning.

Curriculum Designed by Experts

Our courseware is always current and updated with the latest tech advancements.Stay globally relevant and empower yourself with the training.

Learn through Doing

Learn theory backed by practical case studies, exercises and coding practice. Get skills and knowledge that can be effectively applied.

Mentored by Industry Leaders

Learn from the best in the field. Our mentors are all experienced professionals in the fields they teach.

Advance from the Basics

Learn concepts from scratch, and advance your learning through step-by-step guidance on tools and techniques.

Code Reviews by Professionals

Get reviews and feedback on your final projects from professional developers.