With the Deep learning making the breakthrough in all the fields
of science and technology, Computer Vision is the field which is
picking up at the faster rate where we see the applications in most
of the applications out there.
Be it, Facebook's image tagging feature, Google Photo's People Recognition along with Scenery detection, Fraud detection, Facial Recognition, We are seeing the Computer Vision Applications out there.
A typical task in Computer vision task will include the methods for acquiring, processing, analyzing and understanding digital images, and extraction of these high-dimensional data from the real world in order to produce numerical or symbolic information, with which we can form decisions.
A typical & basic operation we perform is - Convolution Operations on Images, where we try to learn the representations of the image so that the computer can learn the most of the data from the input images.
- Welcome Aboard
- AutoGrad in Pytorch
- Creating Deep Neural Networks in Pytorch
- CNN on Pytorch
- LeNet Architecture in Pytorch
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