Convolutional Neural Networks \textbar CNN \textbar Kernel \textbar Stride \textbar Padding \textbar Pooling \textbar Explained by Python Code. Binod Suman Academy June, 2020.
Convolutional Neural Networks \textbar CNN \textbar Kernel \textbar Stride \textbar Padding \textbar Pooling \textbar Explained by Python Code [link]Paper  abstract   bibtex   
Explained all important building block of Convolutional Neural Networks through Keras Python code. What is the actual building blocks like Kernel, Stride, Padding, Pooling, Flatten? How these building blocks are help to reduce dimensionality with keeping all important feature. What is the formula to get output layer dimension? Convolutional Neural Networks \textbar CNN \textbar Kernel \textbar Stride \textbar Padding \textbar Pooling \textbar Flatten \textbar Formula    • Convolutional Neu...   Neural Networks - Feedforward Algorithm \textbar Matrix Math behind \textbar Forward Propagation in a Deep Network.    • Neural Networks -...   Deep Learning Playlist    • Deep Learning
@misc{binod_suman_academy_convolutional_2020,
	title = {Convolutional {Neural} {Networks} {\textbar} {CNN} {\textbar} {Kernel} {\textbar} {Stride} {\textbar} {Padding} {\textbar} {Pooling} {\textbar} {Explained} by {Python} {Code}},
	url = {https://www.youtube.com/watch?v=CNP2IAldEk8},
	abstract = {Explained all important building block of Convolutional Neural Networks through Keras Python code.

What is the actual building blocks like Kernel, Stride, Padding, Pooling, Flatten?
How these building blocks are help to reduce dimensionality with keeping all important feature.
What is the formula to get output layer dimension?

Convolutional Neural Networks {\textbar} CNN {\textbar} Kernel {\textbar} Stride {\textbar} Padding {\textbar} Pooling {\textbar} Flatten {\textbar} Formula     • Convolutional Neu...  

Neural Networks - Feedforward Algorithm {\textbar} Matrix Math behind {\textbar} Forward Propagation in a Deep Network.    • Neural Networks -...  

Deep Learning Playlist    • Deep Learning},
	language = {en},
	urldate = {2023-07-31},
	author = {{Binod Suman Academy}},
	month = jun,
	year = {2020},
	keywords = {\#CNN, \#NN, \#Youtube, /unread, ⭐⭐⭐⭐⭐},
}

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