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You're reading from  The Deep Learning Architect's Handbook

Product typeBook
Published inDec 2023
PublisherPackt
ISBN-139781803243795
Edition1st Edition
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Author (1)
Ee Kin Chin
Ee Kin Chin
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Ee Kin Chin

Ee Kin Chin is a Senior Deep Learning Engineer at DataRobot. He holds a Bachelor of Engineering (Honours) in Electronics with a major in Telecommunications. Ee Kin is an expert in the field of Deep Learning, Data Science, Machine Learning, Artificial Intelligence, Supervised Learning, Unsupervised Learning, Python, Keras, Pytorch, and related technologies. He has a proven track record of delivering successful projects in these areas and is dedicated to staying up to date with the latest advancements in the field.
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Designing a CNN architecture for practical usage

For real-world use cases, CNNs should not be designed similarly to how an MLP is designed. Practical usage means that the goal is not to research a new innovative architecture for an unexplored problem type. Many advancements have been made today based on CNNs. Advancements usually come in one of two flavors:

  • It sets a new baseline that completely redesigned the way CNN architectures are made
  • It’s built on top of existing baseline CNN architectures while complementing and improving the performance of the baseline architecture

The key difference between the ideal design approach of a CNN compared to an MLP is that the structures of published CNN architectures should be used instead of designing the architecture from scratch. The structures of CNN architectures define the type of layers and the way the different types of layers connect; they are usually implemented using logical blocks. Additionally, the uniqueness...

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The Deep Learning Architect's Handbook
Published in: Dec 2023Publisher: PacktISBN-13: 9781803243795

Author (1)

author image
Ee Kin Chin

Ee Kin Chin is a Senior Deep Learning Engineer at DataRobot. He holds a Bachelor of Engineering (Honours) in Electronics with a major in Telecommunications. Ee Kin is an expert in the field of Deep Learning, Data Science, Machine Learning, Artificial Intelligence, Supervised Learning, Unsupervised Learning, Python, Keras, Pytorch, and related technologies. He has a proven track record of delivering successful projects in these areas and is dedicated to staying up to date with the latest advancements in the field.
Read more about Ee Kin Chin