This project is an image classification project using a deep-learning based on Convolutional Neural Networks (CNNs) with Keras. The Dogs vs. Cats is a classic problem for anyone who wants to dive deeper into deep-learning.

Cat vs Dog Classification using CNN. This project implements a CNN to classify images of cats and dogs. It was developed as a learning exercise to explore deep learning, image classification, and model evaluation techniques. Features Dataset: www.kaggle.com/c/dogs-vs-cats/data Framework: TensorFlow and Keras Accuracy: 90.63%

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Deep learning CNN project for binary image classification (Cats vs Dogs) using TensorFlow/Keras.

A CNN-based image classifier that distinguishes between cats and dogs. Image classification with TensorFlow — cats vs dogs edition. A basic computer vision model to classify cats and dogs using CNN. First deep learning project: Cats vs Dogs classifier using Keras.

🐶🐱 Image classification project (Cats vs Dogs) using TensorFlow & CNN Deep learning model to classify cat and dog images 📷 Computer Vision project: Cats vs Dogs classifier with TensorFlow/Keras A CNN-based image classification model trained on the Kaggle Cats vs Dogs dataset

This project showcases a cats vs dogs image classification model using image augmentation and Keras. It employs deep learning and convolutional neural networks (CNNs) to accurately classify images of cats and dogs.

🚀 Just completed a deep learning project on Image Classification: Cats vs Dogs using Convolutional Neural Networks (CNN) in Keras! 🖼️ Built a custom CNN model with multiple layers to accurately distinguish between cats and dogs based on image features.

This project is an image classification project using a deep-learning based on Convolutional Neural Networks (CNNs) with Keras. The Dogs vs. Cats is a classic problem for anyone who wants to dive deeper into deep-learning.

A Deep Learning project that classifies images of cats and dogs using a Convolutional Neural Network (CNN) built with TensorFlow and Keras. The model is trained on the TensorFlow Datasets (TFDS) Cats vs Dogs dataset and achieves binary image classification.

A deep learning project for classifying images of cats and dogs. Built using CNNs (Convolutional Neural Networks) with TensorFlow/Keras. Trained on the Cats vs Dogs dataset to achieve high image classification accuracy. Demonstrates computer vision and image recognition fundamentals.

🐶🐱 Dog vs. Cat Classification using CNN A deep learning project utilizing Convolutional Neural Networks (CNN) with TensorFlow & Keras to classify images of dogs and cats. The model includes data preprocessing, regularization techniques, and performance visualization. 🚀

Dog vs Cat Image Classification using CNN is a deep learning project that classifies images of dogs and cats using a Convolutional Neural Network built with TensorFlow and Keras. The model learns visual features from images and achieves accurate binary classification.

Image classification model built with TensorFlow and Keras to distinguish cats vs dogs using deep learning and computer vision techniques. The model employs a convolutional neural network (CNN) architecture and is trained on the Dogs vs Cats dataset. This implementation serves as an end-to-end tutorial for applying dl to image classification.

In this Cat VS Dog image classification project, I used Convolutional Neural Networks (CNNs) for image binary classification to distinguish between dogs and cats. Built with deep learning frameworks like TensorFlow and Keras, it showcases techniques in image processing and applying CNNs to binary classification problems.

🚀 Just completed a deep learning project on Image Classification: Horse vs Human using Convolutional Neural Networks (CNN) in Keras! 🖼️ Built a custom CNN model with multiple layers to accurately distinguish between cats and dogs based on image features.

Cat vs Dog Image Classification using CNNDeveloped a deep learning model using Convolutional Neural Networks (CNN) to classify images of cats and dogs. The project involved data cleaning, image augmentation, and training a CNN using TensorFlow/Keras. The model included convolutional layers, pooling, and dropout to avoid overfitting...

🐱🐶 Cat vs Dog Image Classification (CNN | TensorFlow | Keras) This project builds a Convolutional Neural Network (CNN) that automatically classifies images as Cat or Dog using deep learning. The model is trained on the popular Microsoft Cats vs Dogs dataset and includes a complete workflow from data loading to final predictions.

The Dog vs. Cat Image Classification project uses TensorFlow, Keras, and CNNs to create a deep learning model that accurately distinguishes between images of dogs and cats. The project involves data preprocessing, CNN architecture design, training, and evaluation to achieve robust and reliable results

This project implements a Cat vs Dog image classification system using Convolutional Neural Networks (CNN). The model is trained to distinguish between cats and dogs from images using deep learning techniques. It includes data preprocessing, model training, evaluation, and prediction. Built using Python, TensorFlow/Keras, and NumPy.

This project is an image classification project using a deep-learning based on Convolutional Neural Networks (CNNs) with Keras. The Dogs vs. Cats is a classic problem for anyone who wants to dive deeper into deep-learning. You can find a link provided by microsoft to the dataset used in ths project here .