A best practice for tensorflow project template architecture.

In this repository, I will share some useful notes and references about deploying deep learning-based models in production.

tensorflow implementation of Grad-CAM (CNN visualization)

Learn to design, develop, train, and deploy TensorFlow and Keras models as real-world applications

Google Street View House Number(SVHN) Dataset, and classifying them through CNN

📖 👆🏻 Links Detector makes printed links clickable via your smartphone camera. No need to type a link in, just scan and click on it.

Models, and associated helper code for GSOC 2017 project Tensorflow Image to Text in Apache Tika

Showing full TensorBoard support in Tensorflow for a CNN using MNIST data.

Chinese Sentence classfication by CNN

Discord Bot in python with rasa nlu, tensorflow, discord api

Deep learning for image classification via transfer learning using Keras, PyTorch, and MXNet on Cloudera Data Science Workbench

The fully connected neural network implemented in Numpy, from scratch, in Tensorflow and in Keras. The bonus code: Implementation of many different activation functions, in python, weight inits.

A basic Hindi Word Detector made using OpenCV and Convolutional Neural Networks

Pseudo Labelling on MNIST dataset in Tensorflow 2.x

머신러닝 프레임워크를 활용한 비교사(Unsupervised) 학습 모델 구현 프로젝트

Making mosaic art of a given image using tile images generated by a Stable Diffusion model using KerasCV

Predict the digit

TensorFlow学习

A copy of tensorflow/models/research/slim