bottleneck-features

Here are 7 public repositories matching this topic...

CG1507 / quickcnn

QuickCNN is high-level library written in Python, and backed by the Keras, TensorFlow, and Scikit-learn libraries. It was developed to exercise faster experimentation with Convolutional Neural Networks(CNN). Majorly, it is intended to use the Google-Colaboratory to quickly play with the ConvNet architectures. It also allow to train on your local…

deep-learning tensorflow keras image-classification tensorboard transfer-learning convolutional-neural-network fine-tuning-cnns cnn-training bottleneck-features sklearn-library google-colaboratory

Updated Dec 29, 2018
Python

fauxneticien / bnf_cnn_qbe-std

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Query by example spoken term detection using bottleneck features and a convolutional neural network

cnn pytorch convolutional-neural-network speech-processing bottleneck-features qbe-std

Updated Nov 16, 2020
Python

JacobPolloreno / dog-breed-web-classifier

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Simple classifier in your browser to predict dog breeds using Flask and Keras/Tensorflow.

classifier flask deep-learning keras cnn inception transfer-learning cnn-keras keras-tensorflow resnet-50 dog-breed bottleneck-features

Updated Jun 26, 2017
Python

osadj / kaldi_nnet3

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Simple, yet fast, Python scripts to read Kaldi NNet3 models and compute bottleneck features

neural-networks kaldi speaker-recognition language-recognition bottleneck-features nnet3

Updated Oct 11, 2017
Python

matteodelv / PillRecogNet

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Part 1 of Undergraduate Thesis Project @ UniBo: implementation of a convolutional neural network to recognize pills from photos, based on VGG16, using transfer learning, fine tuning

keras convolutional-neural-networks transfer-learning fine-tuning bottleneck-features