Deep Learning A-Z™: Hands-On Artificial Neural Networks

2
Training ID 373
Sponsored by: Udemy
Training Description

Learn to create Deep Learning Algorithms in Python from two Machine Learning & Data Science experts. Templates included.


Skills acquired in accordance with SFIA:
البنية التحتية لتقنية المعلومات ITOP Levels: Level 1 برمجيات النظم SYSP Levels: Level 1 تصميم النظم DESN Levels: Level 1
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Training Course index
  • Welcome to The Course 
  • Artificial Neural Networks
  • ANN Intuition
  • Building an ANN
Training course outcomes

 

Understand the intuition behind Artificial Neural Networks

Apply Artificial Neural Networks in practice

Understand the intuition behind Convolutional Neural Networks

Apply Convolutional Neural Networks in practice

Understand the intuition behind Recurrent Neural Networks

Apply Recurrent Neural Networks in practice

Understand the intuition behind Self-Organizing Maps

Apply Self-Organizing Maps in practice

Understand the intuition behind Boltzmann Machines

Apply Boltzmann Machines in practice

Understand the intuition behind AutoEncoders

 

Training Pre-requirements
  • High school mathematics level

  • Basic Python programming knowledge

Related Professional Certificates
  • شهادة مهارات تقنية المعلومات (CIT)
  • شهادة مدرب تقني معتمد من كومبتيا (CTT)
  • شهادة خبير شبكات سيسكو المعتمد (CCNE)
  • شهادة أمن نظم المعلومات الاحترافية (CISSP)
Trainer Name
  • Kirill Eremenko
  • Training Field
    البرمجيات والتطبيقات
  • Career Path
  • Course Type
    Skills Course
  • Training Delivery Method
    Electronic
  • Training Dates Ongoing Training
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