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C 4.1 | 1D Convolution | CNN | Object Detection | Machine Learning | EvODN

Before we jump into CNNs, lets first understand how to do Convolution in 1D. That is, convolution for 1D arrays or Vectors.
Convolution basically involves multiplication and addition with another array.
The 2nd array with which we multiply is called as either Filter or Weights or Kernel.
You will also understand the concept of Stride and Padding.

Once you understand this concept for 1D convolution, it will be easy to understand 2D and 3D convolution.
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This is a part of the course 'Evolution of Object Detection Networks'.
See full playlist here: https://www.youtube.com/playlist?list=PL1GQaVhO4f_jLxOokW7CS5kY_J1t1T17S
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Copyright Disclaimer: Under section 107 of the Copyright Act 1976, allowance is made for “fair use” for purposes such as criticism, comment, news reporting, teaching, scholarship, education and research.

Видео C 4.1 | 1D Convolution | CNN | Object Detection | Machine Learning | EvODN канала Cogneethi
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12 августа 2019 г. 16:56:12
00:06:07
Cogneethi
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