TensorFlow template application for deep learning
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Updated
Jul 5, 2023 - Python
TensorFlow template application for deep learning
Handwritten Korean Character Recognition with TensorFlow and Android
TFRecorder makes it easy to create TensorFlow records (TFRecords) from Pandas DataFrames and CSVs files containing images or structured data.
Feed your own image data to a pre-trained network by tensorflow
tensorflow prediction using c++ api
Pytorch and TensorFlow data loaders for several audio datasets
Functions for creating tfrecords for TensorFlow models.
A one stop shop for all of your activity recognition needs.
Data Reading Blocks for Python
Try to use tf.estimator and tf.data together to train a cnn model.
TensorFlow TFRecord reader CLI tool
Extending Keras to support tfrecord dataset
TensorFlow Input Pipeline Examples based on multi-thread and FIFOQueue
Train a 4-layer Convolutional Neural Network to detect trigger word
parse WIDER FACE dataset to tensorflow tfrecord format for object detection api
tensorflow object detection api helper tool ( custom object detection )
This Repo contains the updated implementation of our paper "Weakly supervised 3D classification of chest CT using aggregated multi-resolution deep segmentation features", Proc. SPIE 11314, Medical Imaging 2020: Computer-Aided Diagnosis, 1131408 (16 March 2020)
A course project that detect cells in image by a simple full convolution neural network. The project is driven by TensorFlow.
Sparse learning in TensorFlow using data acquired from Spark.
This is my first Internship Project on Deep Learning. This is a challenge of WIDER Face Benchmark whose aim is to detect faces in the images in any condition of various poses, illuminations and occlusions. And we managed to get the accuracy of 91% in detecting every type of images.
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