TensorFlow record (.tfrecord) API for Node.JS and Browsers
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Updated
May 1, 2024 - JavaScript
TensorFlow record (.tfrecord) API for Node.JS and Browsers
TensorFlow TFRecord reader CLI tool
Rede Neural 3D CNN para Classificação de TDAH em Imagens de Ressonância Magnética fMRI
Python library for converting annotated datasets into various formats (e.g., image classification, object detection and speech datasets).
Follow Official Tensorflow's retrain.py, which is an example script that shows how one can adapt a pretrained network for other classification problems. This repository improved with quick data read and process to make the training more efficient.
Multiprocessing script for conversion of KITTI dataset to Tensorflow records
TensorFlow template application for deep learning
Create tf-records
Code relevant for training, evaluating, assessing, and deploying CNNs for image classification and segmentation of Digital Mammography images
Convolutional Neural Networks: (1) based on UNet; (2) FCN8 for Image Segmentation of Pascal VOC 2012 dataset written as part of my MSc in Artificial Intelligence degree. Written in Tensorflow 2.0 with Keras Functional API.
AI HUB Project: Classification of Lung Cancer Slide Images using Deep-Learning
Dataset-convertor tool in python for object detection dataset
A pure Julia implementation to read/write TFRecord
parse WIDER FACE dataset to tensorflow tfrecord format for object detection api
怎样将样本【序列化】写入tfrecords,并读取tfrecords文件,针对序列化任务,如语音识别、NMT等输入输出变长的数据。How to write and read trecords for variable length data or label.
TFRecorder makes it easy to create TensorFlow records (TFRecords) from Pandas DataFrames and CSVs files containing images or structured data.
The notebooks used in the TFRecords video
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