Deep Learning Tutorials

Deep Learning

Course Description

Deep Learning is a new part of Machine Learning, which has been introduced with the objective of moving Machine Learning closer to Artificial Intelligence.

Machine learning is a scientific discipline that explores the construction and study of algorithms that can learn from data. Such algorithms operate by building a model from example inputs and using that to make predictions or decisions, rather than following strictly static program instructions. Machine learning is closely related to and often overlaps with computational statistics; a discipline that also specializes in prediction-making.

Through this training we are going to learn and apply concepts of neural networks and optimization techniques in building a deep learning application.

Target Audience :

  • Anyone who wants to learn about data and analytics
  • Data Engineers
  • Analysts
  • Architects
  • Software Engineers
  • IT operations
  • Technical managers


  • What is a neural network?
  • Functioning of a single node and multi-node neural network.
  • Understanding forward propagation and backpropagation.
  • Activation functions
  • Optimization techniques
  • Some Deep Learning libraries
  • Introduction to Keras and Tensorflow
  • Demo on building a Deep Learning Application.


  • Basic knowledge of machine learning required
  • Basic knowledge of programming and statistics
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  • Introduction to Deep Learning
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Deep Learning Tutorials
This Course Includes
  • 1 hours
  • 14 Lectures
  • Completion Certificate Sample Certificate
  • Lifetime Access Yes
  • Language English
  • 30-Days Money Back Guarantee

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