bottleneck-features

There are 0 repository under bottleneck-features 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 system.
keras tensorflow convolutional-neural-network google-colaboratory tensorboard image-classification transfer-learning fine-tuning-cnns cnn-training bottleneck-features deep-learning sklearn-library
Language:Python 10
RomanKornev / dogs-vs-cats-redux
99.7% accuracy solution for Dogs vs Cats Redux Kaggle competition
machine-learning kaggle jupyter-notebook deep-learning dog cat prediction bottleneck ensemble xception bottleneck-features notebook ipython-notebook
Language:Jupyter Notebook 10
fauxneticien / bnf_cnn_qbe-std
Query by example spoken term detection using bottleneck features and a convolutional neural network
bottleneck-features qbe-std convolutional-neural-network cnn pytorch speech-processing
Language:Python 8
dhanushkamath / CIFAR-10
An IPython notebook demonstrating the process of Transfer Learning using pre-trained Convolutional Neural Networks with Keras on the popular CIFAR-10 Image Classification dataset.
machine-learning computer-vision artificial-intelligence data-visualization deep-learning deep-neural-networks keras keras-neural-networks keras-classification-models keras-tutorials keras-visualization tensorflow tensorflow-tutorials tensorflow-examples transfer-learning bottleneck-features python python3 classification image-classification
Language:Jupyter Notebook 7
JacobPolloreno / dog-breed-web-classifier
Simple classifier in your browser to predict dog breeds using Flask and Keras/Tensorflow.
bottleneck-features classifier cnn cnn-keras deep-learning dog-breed flask inception keras keras-tensorflow resnet-50 transfer-learning
Language:Python 7
osadj / kaldi_nnet3
Simple, yet fast, Python scripts to read Kaldi NNet3 models and compute bottleneck features
kaldi bottleneck-features nnet3 neural-networks speaker-recognition language-recognition
Language:Python 5
cakmakaf / dog_breed_classifier
Given an image of a dog, our algorithm will identify an estimate of the canine’s breed. If supplied an image of a human, the code will identify the resembling dog breed.
cnn tensorflow keras face-detection image-processing xception resnet-50 maxpooling convolutional-neural-networks global-average-pooling bottleneck-features
Language:HTML 3
matteodelv / PillRecogNet
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
convolutional-neural-networks transfer-learning keras fine-tuning bottleneck-features
Language:Python 2
mohan-aditya05 / image-captioning
Image captioning is the task of generating a caption for an image. We explore new models and analyse their performances. We will be using Tensorflow in this project.
attention bottleneck-features image-captioning inceptionv3 keras rnn-tensorflow tensorflow vgg16
Language:Jupyter Notebook 1
seralexger / jax-image-classifier
Image classifier with Jax and Elegy. Using as an input any net to get the bottleneck features.
jax elegy deep-learning image-classifier keras tensorflow transfer-learning bottleneck-features
Language:Jupyter Notebook 1
rainmaker29 / autoencoder-img-res
An autoencoder that improves quality of a picture
autoencoder image-processing image-resolution bottleneck-features
Language:Jupyter Notebook 0
stefanbo92 / keras-yolo3
A Keras implementation of YOLOv3 (Tensorflow backend)
keras tensorflow yolo yolov3 object-detection bottleneck bottleneck-features yolo3 finetune
Language:Python 0
learningwithmachines / dog-breed-classifier
dog breed classifier based on convnets, using catdog and lfw datasets.
transfer-learning bottleneck-features keras dlib-face-detection dog-breed-classifier lfw-dataset
Language:Jupyter Notebook
MedipalleTendulkar / CNN-Dog-Breed-Classifier
Built an algorithm to identify canine breed given an image of a dog. If given image of a human, the algorithm identifies the dog breed that is most resembling.
cnn transfer-learning resnet-50 bottleneck-features vgg16
Language:Jupyter Notebook
sabau / dog-project
augmenting-data bottleneck-features cnn deep-learning notebook regularization tensorflow transfer-learning
Language:Jupyter Notebook
sushantdhumak / Dog-Breed-Classifier
Deep Learning Nanodegree Project : Given an image of a dog, the algorithm will identify an estimate of the canine’s breed. If supplied with an image of a human, the code will identify the resembling dog breed.
deep-neural-networks convolutional-neural-network dog-breed-classifier dog-breed keras-neural-networks keras detect-faces resnet-50 transfer-learning preprocessing cnn-architecture rmsprop categorical-cross-entropy accuracy validation-loss bottleneck-features vgg16 xception-model
Language:Jupyter Notebook
yangboz / TransferLearning4Dentist
Transfer Learning for Dentist diagnosis aid , an intelligent healthcare application for train/validate/test/predict.
deep-learning transfer-learning dataset keras python bottleneck-features fine-tuning image-classification image-recognition
Language:Python

bottleneck-features

CG1507 / quickcnn

RomanKornev / dogs-vs-cats-redux

fauxneticien / bnf_cnn_qbe-std

dhanushkamath / CIFAR-10

JacobPolloreno / dog-breed-web-classifier

osadj / kaldi_nnet3

cakmakaf / dog_breed_classifier

matteodelv / PillRecogNet

mohan-aditya05 / image-captioning

seralexger / jax-image-classifier

rainmaker29 / autoencoder-img-res

stefanbo92 / keras-yolo3

learningwithmachines / dog-breed-classifier

MedipalleTendulkar / CNN-Dog-Breed-Classifier

sabau / dog-project

sushantdhumak / Dog-Breed-Classifier

yangboz / TransferLearning4Dentist