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Neural Networks Training Certification Course Online

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The neural network helps in programing and based on the calculus algorithms. However, the, artificial neural network basics are a part of machine learning and helpful in programing, the IT professionals, who have to take care of the dataset. The training on artificial neural network notes offered by Multisoft Virtual Academy make an encounter with the techniques, which would be helpful in recognizing the pattern based on the large amount of inputs.

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Duration: 18 Hrs

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Instructor-Led Online Training Parameters

Course Highlights

  • Duration: 18 Hrs.
  • Subject Matter Expert
  • After Training Support
  • Lifetime E-Learning Access
  • Recorded Sessions
  • Free Online Assessments
One to One training One to One Training

Neural Networks Online Training Course Overview

The neural network helps in programing and based on the calculus algorithms. However, the, artificial neural network basics are a part of machine learning and helpful in programing, the IT professionals, who have to take care of the dataset. The training on artificial neural network notes offered by Multisoft Virtual Academy make an encounter with the techniques, which would be helpful in recognizing the pattern based on the large amount of inputs.

The training modules of Artificial Neural Network Notes have been designed in a way that the candidates would get enlightened on all from fundamentals to the hierarchical structure. Other than this, the training insights on the mini-batch gradient descent and adaptive learning rates, hat strategies should be followed to make neural networks generalize better, what are the major types of neural network architecture, etc. 

Neural Networks Online Training Course Content

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  • An Introduction
  • The Perceptron learning procedure
  • The backpropagation learning procedure
  • Learning feature vectors for words
  • Object recognition with neural nets
  • Optimization: How to make the learning go faster
  • Recurrent neural networks
  • More recurrent neural networks
  • Ways to make neural networks generalize better
  • Combining multiple neural networks to improve generalization
  • Hopfield nets and Boltzmann machines
  • Restricted Boltzmann machines (RBMs)
  • Stacking RBMs to make Deep Belief Nets
  • Deep neural nets with generative pre-training
  • Modeling hierarchical structure with neural nets
  • Recent applications of deep neural nets

Target Audience

IT Professionals wish to learn the implementation of the next-generation machine learning techniques by using the neural network algorithm.

Neural Networks Online Trainer Profile

Build strong Neural Networks Online skills under expert trainers with 18+ years of industry experience, focusing on real-time project handling, integrations, and financial system implementations.

18+ Years Experienced

Our Neural Networks Online trainers bring over 18+ years of hands-on industry experience.

Trained 2829+ Professionals

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Gain practical knowledge through live projects guided by industry-certified trainers.

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Experience practical learning through real-world scenarios, case studies & industry assignments.

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