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Pooling Layers In Python

Nikola Pulev
Course Author

Pooling Layers are an important part of a Convolutional Neural Network (CNN). That's why, the following template demonstrates how one can add a MaxPooling layer to the network architecture, as well as discuss the important parameters that need to be considered and included. Some other related topics you might be interested in are Simple CNN Network - Convolutional Layer in Python, A Common CNN Architecture in Python, TensorBoard - Tracking Metrics in Python, and Tensorboard - Tuning Hyperparameters in Python. The Pooling Layers in Python template is among the topics covered in detail in the 365 Program.

Who is it for

This free .ipynb template on Convolutional Neural Networks is for Data Scientists, Data Analysts, Machine Learning Engineers , Deep Learning Engineers and anyone interested in exploring deep learning and machine learning.

How it can help you

Pooling layers are used to reduce the dimensions of the future maps as well as summarize the features present in a region of the feature map, making the model more robust to variations in the position of the features in the input image.

Pooling Layers In Python