CNNs for semantic segmentation using Keras library
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Updated
Jan 30, 2019 - Python
CNNs for semantic segmentation using Keras library
BreBraille is a project that converts braille image to text. It helps parents of blind child to understand braille and teach them. This project uses Keras library to build a Sequential model by Convolutional Neural Network so that it recognize letters. This project also includes conversion of normal image to braille as well as text to braille.
image classification and manipulation in python machine learning on fashion mnist dataset
Building a regression model using the Keras library. Building a classification model using the Keras library. The difference between the shallow and deep neural networks. Convolutional networks and how to build them using the Keras library. Recurrent Neural Networks. Autoencoders and how to build them using the Keras library.
This is an image classifier using a convolutional neural network (using keras library, tensorflow backend) in which the dependent variable is binary (can be explained by two classes)
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