This repository contains an ipython notebook which implements Convolutional Neural Networks to do a binary image classification.
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Updated
Feb 24, 2021 - Jupyter Notebook
This repository contains an ipython notebook which implements Convolutional Neural Networks to do a binary image classification.
Small projects I have worked on my free time
Using Densenet121 & Adam Optimizer on a Jupyter Notebook
Notebook for classifying Cats vs Dogs using Tranfer Learning
A few notebooks on building binomial as well as multilabel image classifiers from scratch. Also, how to use a pretrained ConvNet for image classification.
This repository contains an ipython notebook which implements a Convolutional Neural Network to do a binary image classification. I used this to classify Cats vs Dogs and you can get the dataset from here https://www.kaggle.com/c/dogs-vs-cats/data . (This model trains with thousands of input images so be patient.)
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