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Convolutional Neural Networks Mastery – Deep Learning – CNN

Convolutional Neural Networks Mastery – Deep Learning – CNN

Master Pytorch with Realworld Dataset of Computer Vision & Code in Python with Convolutional Neural Networks CNN

What you’ll learn

Convolutional Neural Networks Mastery – Deep Learning – CNN

  • 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


  • Basic Machine learning with Python Programming Language


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 & 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,

It is said as,

We are going to prefer learning – PyTorch for these Reasons:

  1. It is Pythonic
  2. Easy to Learn
  3. Higher Developer Productivity
  4. Dynamic Approach for Graph computation – AutoGrad
  5. GPU Support for computation,

    and much more.


In this course,  We are going to implement Step by Step approach of learning:

  1. Understand the Basics of PyTorch
  2. Learn to Code in GPU & with a guide to access free GPU for learning
  3. Learn Auto Grad feature of PyTorch
  4. Implement Deep Learning models in Pytorch
  5. Learn the Basics of Convolutional Neural Networks in PyTorch(CNN)
  6. Practical Application of CNN’s on Real World Dataset

Who this course is for:

Convolutional Neural Networks Mastery – Deep Learning – CNN

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