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Neural Networks Training 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.

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. 

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Instructor-led Training Live Online Classes

Start Date No. of Hrs Time (IST) Day  
09 Jul 2022 18 06:00 PM - 09:00 PM Sat, Sun
23 Jul 2022 18 06:00 PM - 09:00 PM Sat, Sun
06 Aug 2022 18 06:00 PM - 09:00 PM Sat, Sun
20 Aug 2022 18 06:00 PM - 09:00 PM Sat, Sun

Course Price At

$ 250

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Instructor-Led Online Training

  • 18 Hrs Training
  • Learning Access
  • Expert Trainers
  • Training Certificate

Course Price At

$ 250

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Neural Networks 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 Course Content

  • 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.

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Multisoft Training Completion Certificate Features :
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