TensorFlow Developer by DeepLearning.AI

Training a keras model to recognize real images of cats and dogs in order to classify an incoming image as one or the other.

Pytorch Model to classify cats and dogs images

Hi! I’m Aniq Usman, 11 years old. Using Deep Learning and Python, I built a convolutional neural network that can classify images into two categories: cat or dog. Feel free to suggest improvements and share my code so others can learn to code too!

Miscellaneous AI/ML examples

Dog cat classification using pytorch, neural network

A deep learning project using the Tensorflow and Keras libraries with the Convolutional Neural Network method. This development allows us to detect whether the entered image is a cat or a dog.

A collection of Streamlit-based applications showcasing deep learning in action, including movie recommendations, disease detection, and image classification. Pre-trained models and datasets are hosted on Google Drive for seamless integration.

A Convolutional Neural Network (CNN) model to predict Cat/Dog with Keras

Contains applications related to Deep Learning Classification. The two applications perform classification using different trained models.

Cat-Dog Classifier using VGG16 architecture to implement Transfer Learning with Keras November 2020

implement kotlin dl library to compile keras model to classify image

A Cat vs Dog classifier using CNN

FCC Projects

This repository is best fit to get started with pytorch. It contains notebooks with implementation of cat and dog classifiers in simple using ANN (CNN). Purpose is to get the basic understanding of pytorch with training and validation and dataset class implementations don't mind the accuracy.

CNN-based image classifier for cats and dogs using TensorFlow

Using VGG16 feature extractor with Scikit-learn Support Vector Machine to train the model to classify dogs and cats. Model accuracy: 94.71%

This project uses Transfer Learning to train a Model which classifies Cats and Dogs