Application of Connectionist Temporal Classification (CTC) for Speech Recognition (Tensorflow 1.0 but compatible with 2.0).
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Updated
Mar 4, 2021 - Python
TensorFlow is an open source library that was created by Google. It is used to design, build, and train deep learning models.
Application of Connectionist Temporal Classification (CTC) for Speech Recognition (Tensorflow 1.0 but compatible with 2.0).
Phased LSTM: Accelerating Recurrent Network Training for Long or Event-based Sequences (NIPS 2016) - Tensorflow 1.0
Handwritten recognition with slice+cnn+lstm/multidimentional lstm/cnn+lstm
Tensorflow - Very Deep Convolutional Neural Networks For Raw Waveforms - https://arxiv.org/pdf/1610.00087.pdf
Example on how to use a Tensorflow Queue to feed data to your models.
A small number of topics implemented with tensorflow.
Some necessary ops for your TensorFlow needs.
The code of this repo is taken directly from https://github.com/pender/chatbot-rnn. Customized to work with python 3.5 and tensorflow 1.0.
Deep FCN Models for Semantic Segmentation of Aquatic Invasive Species in TensorFlow 1.x
텐서플로우를 기초부터 응용까지 단계별로 연습할 수 있는 소스 코드를 제공합니다. (VisualStudio2015, TensorFlow1.0, Python3.5 지원)
Created by Google Brain Team
Released November 9, 2015