Implementation of CNN model which colorises grayscale images
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Updated
May 20, 2020 - Jupyter Notebook
Implementation of CNN model which colorises grayscale images
Using VGG and Transfer Learning in Keras
A keras implementation of DCGAN to generate Pokèmon sprites.
Using Keras models for image classification.
Machine learning approach for house price prediction using tensorflow.
[종합설계] CNN기반의 감정 인식 기술을 활용한 영상 동화 어플리케이션 👶
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.
A command line version of https://github.com/rykov8/ssd_keras
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.
Jupyter notebook showing how to build an image classifier with Python and Tensorflow
Use of word embeddings to classify sentiments of sentences and automatically attach emojis
Predicting patient medicine costs using deep learning (FNN) with a clean Streamlit dashboard.
Generating poems like Shakespeare poems after training on various Shakespeare Sonnets using LSTM model
Tensorflow 2.0 - Code Academy Course Notebook Replication.
Contains lab exercises for deep learning using TensorFlow and Keras done in semester 6 of college.
Image Recognition using Keras framework on CIFAR-10 Dataset(85% accuracy)
An example of Jax usage with the new Keras 3.0 API release
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