With the Deep learning making the breakthrough in all the fields of science and technology, Deep Learning 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 Deep Learning Computer Vision Applications out there.
A typical task in Deep Learning 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.
In this course,
We will be learning one of the widely used Deep Learning Framework, i.e PyTorch
It is said as,
PyTorch to be Goto Tool for DeepLearning for Product Prototypes as well as Academia.
We are going to prefer learning – PyTorch for these Reasons:
Courses : 4
Specification: Deep Learning : Computer Vision Beginner to Advanced Pytorch
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