bottleneck-features

There are 18 repositories under bottleneck-features topic.

  • RomanKornev/dogs-vs-cats-redux

    99.7% accuracy solution for Dogs vs Cats Redux Kaggle competition

    Language:Jupyter Notebook11107

  • 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.

    Language:Python10104

  • 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.

    Language:Jupyter Notebook8226

  • fauxneticien/bnf_cnn_qbe-std

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

    Language:Python8211

  • JacobPolloreno/dog-breed-web-classifier

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

    Language:Python8426

  • osadj/kaldi_nnet3

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

    Language:Python5315

  • 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.

    Language:HTML3101

  • 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

    Language:Python2100

  • 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.

    Language:Jupyter Notebook1100

  • seralexger/jax-image-classifier

    Image classifier with Jax and Elegy. Using as an input any net to get the bottleneck features.

    Language:Jupyter Notebook1200

  • yangboz/TransferLearning4Dentist

    Transfer Learning for Dentist diagnosis aid , an intelligent healthcare application for train/validate/test/predict.

    Language:Python1401

  • 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.

    Language:Jupyter Notebook0100

  • rainmaker29/autoencoder-img-res

    An autoencoder that improves quality of a picture

    Language:Jupyter Notebook0100

  • stefanbo92/keras-yolo3

    A Keras implementation of YOLOv3 (Tensorflow backend)

    Language:Python0001

  • learningwithmachines/dog-breed-classifier

    dog breed classifier based on convnets, using catdog and lfw datasets.

    Language:Jupyter Notebook00

  • N1ccoloZen/MachineLearningProject

    Concept Bottleneck Models

    Language:Jupyter Notebook

  • sabau/dog-project

    Language:Jupyter Notebook10

  • 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.

    Language:Jupyter Notebook10