In this post, we share some formulas for calculating the sizes of tensors (images) and the number of parameters in a layer in a Convolutional Neural Network (CNN). This post does not define basic ...
Keras Tutorial : Fine-tuning using pre-trained models
In the previous two posts, we learned how to use pre-trained models and how to extract features from them for training a model for a different task. In this tutorial, we will learn how to fine-tune a ...
Keras Tutorial: Transfer Learning using pre-trained models
In our previous tutorial, we learned how to use models which were trained for Image Classification on the ILSVRC data. In this tutorial, we will discuss how to use those models as a Feature Extractor ...
Keras Tutorial : Using pre-trained Imagenet models
In this post we will learn how to use pre-trained models trained on large datasets like ILSVRC, and also learn how to use them for a different task than it was trained on. We will be covering the ...
Image Classification using Convolutional Neural Networks in Keras
In this tutorial, we will learn the basics of Convolutional Neural Networks ( CNNs ) and how to use them for an Image Classification task. We will also see how data augmentation helps in improving the ...
Best Project Award : Computer Vision for Faces
The first batch of our course on Computer Vision for Faces has graduated and I am very excited to announce the Best Project Award for our course. It has a cash prize of $1000. But, the journey people ...