I used a convolutional network to classify images of dogs and cats
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Updated
May 26, 2021 - Jupyter Notebook
I used a convolutional network to classify images of dogs and cats
Using Transfer learning to classify dog and cats images
Using Densenet121 & Adam Optimizer on a Jupyter Notebook
A basic Dogs vs Cat identifier.
Usage of CNN to build a Cat vs Dog Model
Dog and cat breed names
Developing three different types of Image Classification model using very less data.
Kaggle competition, "Dogs vs. Cats Redux: Kernels Edition" with pytorch
Dogs Vs Cats is a CNN based model. Its purpose is to classify a images dataset into two classes: Cats and Dogs.
Kaggle competition dogs-vs-cats. Implemented Logistic Regression and InceptionV3 (transfer learning).
Dogs vs. Cats classification using CNN in PyTorch.
Implement a simple CNN model using PyTorch and get ~70% accuracy on Kaggle's Dogs vs. Cats dataset
ML.NET Dogs vs Cats Classification Example
This repository contains my kaggle Dogs vs. Cats recognition challenge competition source code
Three approaches to build up a binary image classifier
Cat vs Dog Image Classifier app using CNN implemented using Keras
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