A GAN network for generating cats and dogs
-
Updated
Jan 16, 2021 - Jupyter Notebook
A GAN network for generating cats and dogs
Cat or Dog with TensorFlow, first attempt
Find App Link below. This project involves using CNNs to predict facial landmarks on images of cat faces. It utilizes Python, OpenCV, TensorFlow, and Keras libraries for image processing, modeling, and training. The ResNet50 architecture is employed as the base model, augmented with dense layers for facial landmark prediction
using CNN to classify cats from dogs
Implemention of Convolutional Neural Nets on Cats-vs-Dogs dataset.
Statistical Methods for Machine Learning - UniMi 2022
Binary image classification
What does CNN sees in each layer?
A neural network dataset containing cat and dogs classes.
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.)
Used normal neural networks and convolutional neural networks in many many data like animals, fashion, flowers classification, and also temperature predictions. Have fun. BTW used tensorflow for the works
Machine learning Self study - Solution to classify whether given image contains either a dog or a cat.
Kaggle kernel for cats_vs_dogs Image Classification competition. Recent Score: 0.51310
Trying to create and train a model to classify dogs and cats
Using Densenet121 & Adam Optimizer on a Jupyter Notebook
Cats vs. Dogs - Classification
A cats and dogs classifier using CNN
Add a description, image, and links to the cats-vs-dogs topic page so that developers can more easily learn about it.
To associate your repository with the cats-vs-dogs topic, visit your repo's landing page and select "manage topics."