Daily Dose of Data Science – Day 8 – Scenarios in which Transfer Learning may not work
In one of the previous editions of Daily Dose of Data Science I had talked about how TensorFlow Hub can accelerate modeling of unstructured data using the concept of transfer learning. But there are many possible scenarios in which Transfer Learning may not be the most effective option to go for. In this post, I will…
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Daily Dose of Data Science – Day 3 – Accelerate Deep Learning using TensorFlow Hub
Time for another Daily Dose of Data Science! Majority of data scientists consider using Transfer Learning from pretrained Deep Learning models whenever they work on problems involving limited data. That’s where TensorFlow Hub comes in, to even further accelerate the usage, discovery and availability of pretrained machine learning models ready for fine-tuning and deployment anywhere!…
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Artistic image generation using Neural Style Transfer
In this post, we will learn how to use deep learning to generate images (base image) in the style of another image (style image). This is known as neural style transfer! This is a technique outlined in Leon A. Gatys’ paper, A Neural Algorithm of Artistic Style which is a great read, and you should…
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