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This is the Convolutional Neural Network (CNN) implementation with a single convolution layer from scratch using Numpy library. The image dataset on which classification is done is MNIST. It is able to classify with more than 97% classification accuracy after training for just 1 epoch.
Photo sharing and photo storage services like to have location data for each photo that is uploaded. With the location data, these services can build advanced features, such as automatic suggestion of relevant tags or automatic photo organization, which help provide a compelling user experience.
The app takes image input from the user and accurately classifies the landmark in the image. It gives the top 5 possible landmark names with the probability.
Implementing Neural Networks for Computer Vision in autonomous vehicles and robotics for classification, pattern recognition, control. Using Python, numpy, tensorflow. From basics to complex project