Image Recognition using Keras framework on CIFAR-10 Dataset(85% accuracy)

It's a Wpod-net demo, downloaded from https://github.com/quangnhat185/Plate_detect_and_recognize, for the recognition of car license plates, the use of labeled images is avoided, with lower accuracy

An example of Jax usage with the new Keras 3.0 API release

end-to-end face regontion project based on tensorflow

A command line version of https://github.com/rykov8/ssd_keras

Generating poems like Shakespeare poems after training on various Shakespeare Sonnets using LSTM model

This is a very Simple Machine Learning Example Implemented with Keras model. System simply classifies the data with it's sum, If the sum of integers given as data is greater than 10(i.e two digit) then it will classify as yes. Else it will classify as no.

Tensorflow 2.0 - Code Academy Course Notebook Replication.

A keras implementation of DCGAN to generate Pokèmon sprites.

[종합설계] CNN기반의 감정 인식 기술을 활용한 영상 동화 어플리케이션 👶

Machine learning approach for house price prediction using tensorflow.

Using Keras models for image classification.

Use of word embeddings to classify sentiments of sentences and automatically attach emojis

This project aims to classify brain MRI images into four categories: Glioma, Meningioma, No tumor, and Pituitary tumor. It utilizes TensorFlow to build and train a convolutional neural network (CNN) for the task.

Jupyter notebook showing how to build an image classifier with Python and Tensorflow

Using VGG and Transfer Learning in Keras

Machine translation is a challenging task that traditionally involves large statistical models developed using highly sophisticated linguistic knowledge. Neural machine translation is the use of deep neural networks for the problem of machine translation. In this project, I have developed a neural machine translation system for translating Engli…

🌱CNN, GAN, RNN, AE, GAN, UNET