Deep learning with Python, from theory to practice

Intermediate
1 chapters ยท 5 hours 21 minutes
Audio Korean

About the class

๐Ÿ’ป This course An intermediate course covering both CNN and RNN theory and practiceIt consists of

CNN and RNN are representative models of deep learning technology and enable efficient data processing. Learn the theory of CNN (Convolutional Neural Network) and RNN (Recurrent Neural Network) and understand deep learning models through related exercises. In particular, in order to understand the principles of CNN and RNN, they deal with mathematical content and build networks themselves. Get a complete understanding of deep learning through CNN and RNN exercises!


Course effect

  • You can understand deep learning learning principles and deep learning theories such as CNN and RNN.
  • You can build networks such as CNN and RNN yourself.
  • Problems can be solved through deep learning models from given data.


Recommended target

  • Those who have basic knowledge of machine learning/deep learning
  • People who have learned Python to some extent
  • People who have taken theory such as CNN, RNN, etc., but have trouble practicing
  • Those who want to learn about CNN and RNN again

Curriculum

Creator

IT Encyclopedia

IT Encyclopedia

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Notes on Copyright Protection

  • All videos and materials included in the class are protected intellectual property under relevant laws.
  • You may face legal action if you copy, distribute, transmit, modify or edit the videos or materials included in the class without permission.
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