Style transfer is an application that merges content and style from two different images to create the resultant. Implemented using tensorflow and keras.
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Updated
Oct 7, 2023 - Jupyter Notebook
Style transfer is an application that merges content and style from two different images to create the resultant. Implemented using tensorflow and keras.
Solution for a sentiment analysis challenge, part of "Reto Enseña x Oracle España", a hackathon organized by Oracle.
With the help of OpenCV and Deep Learning CNN algorithm performing some action with hand gesture though webcam like I'm playing chrome browser famous game dinosaur jump. And for CNN model I have collected my own Dataset by capturing 350+ images.
Deepscooting - Soccer player recommender system
Определение возраста человека, изображенного на фотографии.
ResNet for CIFAR with Estimator API and tf.keras.Model class
In this project, I predicted whether fruit is rotten or not using sequential model, ResNet50v2 and VGG16, trained all of them using the Fruit fresh and rotten for classification Kaggle dataset. Got an accuracy of 96.96%, 97.41% and 91.4% respectively. Please see readme for details.
Convolutional Neural Network for classification room that Clean or Messy
FFNN model for digit recognition
Classifying images with a Convolutional Neural Net - [Python]
Experience the future of visual intelligence with Object tracking and Detection. 🚀👀 Track and identify objects in real-time for enhanced surveillance and analysis. 🔍🎯
Sentence classifier model implementations
Deep learning using tensorflow, keras, cnn
This breast cancer diagnosis project evaluates various machine learning models to effectively classify breast masses as benign or malignant. SVM and Logistic Regression excel in identifying positive cases, leveraging their robust performance metrics, while Neural Networks show promising results and offer opportunities for further enhancement!
This project consists of two parts: red wine quality prediction using Support Vector Machines (SVM) and fake news detection using a Sequential Neural Network.
This is an INTERACTIVE deep learning framework for time series forecasting. It uses Tensorflow 2+tf.karas.
This is template repository for tensorflow keras model development.
LSTM and n-gram based models for text generation.
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