DataHour: Introduction to GAN - A Practical Approach
DataHour: Introduction to GAN - A Practical Approach
30 Aug 202215:08pm - 30 Aug 202216:08pm
DataHour: Introduction to GAN - A Practical Approach
About the Event
GAN - Generative Adversarial Network is a deep learning method similar to Convolution neural network. It is an unsupervised learning task which helps in automatically finding and learning the regularities or patterns which easily is not recognizable from the test data set used and create new data from it.
GANs are rapidly dominating and changing how we used to create models for image classification. Few of the areas where its most impactful have been fake people identification, photorealistic photo generation which are hard for a human to distinguish.
In this DataHour, we would be learning about CNN and how GAN can improve the performance of the same. We would look at a few practical examples using open source data sets available. At the end we would look at fast ai library which is a very important topic that everyone should be aware about and how it can help in the practical aspect of deep learning.
Prerequisites: Enthusiasm for learning Data Science and a laptop with good internet connection.
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
Who is this DataHour for?
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
About the Speaker
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