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Deep Learning – Deep Learning Certification Training Course
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Deep learning revolves around hierarchical learning and forms an integral part of artificial intelligence (AI) and machine learning methods. Also referred to as deep structured learning, it reflects the ability of devices and machines to learnusing various data representations despite task-specific algorithms that can be efficiently supervised.

Course Highlights

  • Blended learning delivery model
  • Recorded sessions
  • Certified Trainer
  • Training Certificate
  • Get certified at an affordable price

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Course Description

Overview

Deep learning revolves around hierarchical learning and forms an integral part of artificial intelligence (AI) and machine learning methods. Also referred to as deep structured learning, it reflects the ability of devices and machines to learnusing various data representations despite task-specific algorithms that can be efficiently supervised.

Thisdeep learning training coursehelps you acquire in-depth understanding and working knowledge of the deep learning use cases, artificial neural networks, recurrent neural networks,convolutional neural networks,and deep learning frameworks. You will get deeper insight to compare the performance of various neural networks and learn the core essentials of Tensor Flow during this course.

  • Practical implementation of the instilled knowledge
  • Training mapped to the most sought-after data science skills
  • Post-training support
  • Custom learning modes available
Why Deep Learning?

Deep learning is emerging as a promising opportunities for people intending to start their career in data science, AI, machine learning and deep learning. This all-inclusive deep learning course equips you with extensive competencies to understand and develop next generation solutions empowered with neural networks and related advance technologies. Getting trained in deep learning from InfoSec Train will help you:

  • Understand the role of deep learning in data science with real life implications
  • Get familiar with artificial neural networks with real-like scenarios
  • Implement deep neural networks on SONAR dataset
  • Develop deep learning applications with TensorFlow&Keras
  • UnderstandingCNN Architecture and datasets analysis
  • Explore Recurrent Neural Networks (RNN) and core concepts
  • Experiencecollaborative filtering with RBM

Target Audience

Deep Learning is one of the top-ranking functional area of data science highly valued in today’s works of futuristic technologies. You must take this training if you are:

  • Having intermediate level understanding of the Machine Learning or Deep Learning with exposure to classical algorithms such as linear regression/ logistic regression
  • Not interested in core coding but intend to specialize in deep learning
  • Choose data science as a career option with deep learning as one of the core skill
  • A data analysts and wish to excel in your role with deep learning expertise
  • Leveragethe deep learning’s exponential technology to advance business opportunities

Pre-Requisite

  • Familiarity with any programming knowledge
  • Basic understanding of mathematics at least up to school level

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Course Objectives

This comprehensive deep learning program renders key fundamentals including:

  • Introduction to deep learning
  • Exposure to artificial neural networks
  • Understanding deep neural networks
  • Working with TensorFlowandKeras
  • Understanding convolutional neural networks
  • Introduction to the recurrent and recursive nets
  • Introduction to RBM and autoencoders

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