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Pencarian Anda

Deep Learning

Leveraging for Advanced Industrial Applications

Unlock the power of deep learning and revolutionize your Industry 4.0 strategy with this comprehensive course.

Learn practical skills to leverage deep learning algorithms, drive innovation, optimize processes, and solve complex industrial problems. Ideal for managers, data scientists, engineers, and professionals exploring deep learning in Industry 4.0. Basic machine learning knowledge and Python programming experience recommended.

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2,220,000.00 IDR

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  1. Course Code: IDN-K7-PUB

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Order
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  • Provide a comprehensive understanding of deep learning techniques in Industry 4.0
  • Equip participants with practical skills to leverage deep learning algorithms
  • Drive innovation, optimize processes, and solve complex problems in the industry

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  • Managers and executives leading digital transformation initiatives
  • Data scientists and analysts interested in deep learning
  • Engineers and researchers developing industrial applications
  • Professionals exploring deep learning in Industry 4.0

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  • Basic understanding of machine learning concepts
  • Programming experience in Python (recommended)
  • Familiarity with neural networks and deep learning frameworks (beneficial)

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  • Introduction to Industry 4.0 and its impact
  • Fundamentals of Deep Learning:Neural networks, activation functions, and backpropagation
  • Convolutional Neural Networks (CNNs) for computer vision tasks
  • Recurrent Neural Networks (RNNs) for time series analysis
  • Generative Adversarial Networks (GANs) for data generation
  • Transfer Learning and fine-tuning pre-trained models
  • Deep Reinforcement Learning for decision-making systems
  • Deploying deep learning models in production environments
  • Ethical considerations and challenges in Deep Learning for Industry 4.0

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Certificate of Attendance

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Face-to-Face Training / Classroom Terms and Conditions:

  • Laws and Regulations: This training follows the applicable laws of the country where it takes place.

  • Equipment and Internet: Participants need a computer or mobile device with reliable internet for training. The company is not responsible for technical issues with participants' equipment or internet.

  • Attendance and Completion: Participants must attend all sessions and complete coursework to receive a certificate.

  • Cancellation or Rescheduling: The company may cancel or reschedule training due to unforeseen circumstances. Participants will be notified promptly.

  • Conduct: Participants must behave ethically and professionally. Disruptive behavior, harassment, or discrimination will result in removal from training.

  • Intellectual Property: Training materials are owned by the company and may not be shared or reproduced without written permission.

  • Recording: Participants cannot record sessions without prior consent from the company.

  • Feedback and Evaluation: Participant feedback may be used for training improvement. Personal information won't be disclosed without consent.

  • Payment and Refunds: Full payment is required before training starts. Refunds are granted if the company cancels or with written notice within a specified timeframe.

  • Agreement: By registering, participants agree to the company's terms and conditions.

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