Deep Learning : Computer Vision Beginner to Advanced Pytorch
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + .srt | Duration: 74 lectures (7 hour, 18 mins) | Size: 2.48 GB

Go Beginner to Pro in Computer Vision in Pytorch / Python with Expert Tips Convolutional Neural Network 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

Requirements

Basic Machine learning with Python Programming Language

Description

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.