Deep Learning

by Elite Indigo Claim Listing

In this course, various machine and deep learning algorithms will be explored. Starting from the basics of machine and deep learning, the participants will learn how to construct various machine and deep learning systems from their basic building blocks.

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img Duration

8 x 1/2 Days

Course Details

In this course, various machine and deep learning algorithms will be explored. Starting from the basics of machine and deep learning, the participants will learn how to construct various machine and deep learning systems from their basic building blocks, and will understand how to apply them to real-world scenarios.

Python will be used for all examples and exercises during the hands-on sessions. It is an extremely versatile programming language with clear and intuitive syntax. Most importantly, there is a large collection of Python packages or libraries that expedite the implementation of machine and deep learning systems.

 

Objectives:

  • Explore typical building blocks of machine learning systems
  • Realize different machine learning and deep learning techniques
  • Discover the architecture of convolution neural networks (CNN)
  • Build machine learning and deep learning systems for image classification
  • Evaluate learning algorithms
  • Use of various Python packages: NumPy, pandas, matplotlib, scikit-learn, TensorFlow, and Keras
  • George Town Branch

    51, Jalan Nuri 6, George Town

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