A best practice for tensorflow project template architecture.
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Updated
Nov 13, 2018 - Python
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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.
Deep learning library for solving differential equations and more
tensorflow implementation of Grad-CAM (CNN visualization)
Google Street View House Number(SVHN) Dataset, and classifying them through CNN
Learn to design, develop, train, and deploy TensorFlow and Keras models as real-world applications
머신러닝 프레임워크를 활용한 비교사(Unsupervised) 학습 모델 구현 프로젝트
SEQ2SEQ model with Attention mechanism for QA also for NMT +(Generating text using LSTM network)
Discord Bot in python with rasa nlu, tensorflow, discord api
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.
Deep learning for image classification via transfer learning using Keras, PyTorch, and MXNet on Cloudera Data Science Workbench
Models, and associated helper code for GSOC 2017 project Tensorflow Image to Text in Apache Tika
A implement of pix2pix for tensorflow version(Image-to-Image Translation with Conditional Adversarial Nets)
This repo dedicated to the project of Image processing and generating HTML file
This notebook builds an end-to-end multi-class image classifier using TensorFlow 2.x and TensorFlow Hub.
The repository contains the materials discussed in part 1 of the Image Classification with YonoHub & Tensorflow V2.0 Series
Course work of Computational physics
A collection of tutorials and examples on Machine Learning and Deep Learning Implementation in python using Scikit-Learn, Tensorflow and Keras.
Using a Tesnsorflow LSTM Layer and Classifying News Headlines to their appropriate categories.
This is deep learning implementation of predicting user ratings based on user reviews project.
A repository demonstrating different examples of LSTM.
Tensorflow GPU 1.12.0 Compiled from source For Python 3.7.1 , CUDA 10.0.130 , cuDNN 7.4.1
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