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Computer Vision with Pytorch - Deep Learning


  Computer Vision with Pytorch - Deep Learning Computer Vision with Pytorch - Deep Learning  / get udemy course code

Data Science next Convolutional Neural Networks. ... Master Computer Vision using Pytorch with Realworld Dataset with Convolutional Neural Networks CNN. ... Master how to Perform Computer Vision Task with Deep Learning.
What you'll learn
  •     Master how to Perform Computer Vision Task with Deep Learning
  •     Learn to Work with PyTorch
  •     Convolutional Neural Networks with Torch Library
  •     Build Intuition on Convolution Operation on Images
  •     Learn to Implement LeNet Architecture on CIFAR10 dataset which has 60000 images
 Description

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.

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.
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