This Repository contains my implementation on Constitutional Neural Networks on Cats and Dogs dataset

A GAN network for generating cats and dogs

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

This is my first nice machine learning model, This model gave a 97.85% accuracy in classifying between Cats and Dogs. I made it using a pre-trained base model MobileNet V2 , and after that i added a global average pooling and then a dense layer for categorization between two classes ( cats and dogs) , i used only one dense neuron in last layer e…

Building basic models with different type of data for practice

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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

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.)

Its cats vs dogs !

Used normal neural networks and convolutional neural networks in many many data like animals, fashion, flowers classification, and also temperature predictions and time-series. Have fun. BTW used tensorflow for the works.

What does CNN sees in each layer?

This repository aims to train a model that is really really good at seeing the difference between a cat and a dog.

A neural network dataset containing cat and dogs classes.

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