Topic: bottleneck-features Goto Github
Some thing interesting about bottleneck-features
Some thing interesting about bottleneck-features
bottleneck-features,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.
User: cakmakaf
bottleneck-features,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.
User: cg1507
bottleneck-features,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.
User: dhanushkamath
bottleneck-features,Query by example spoken term detection using bottleneck features and a convolutional neural network
User: fauxneticien
bottleneck-features,Simple classifier in your browser to predict dog breeds using Flask and Keras/Tensorflow.
User: jacobpolloreno
bottleneck-features,dog breed classifier based on convnets, using catdog and lfw datasets.
Organization: learningwithmachines
bottleneck-features,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
User: matteodelv
bottleneck-features,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.
User: medipalletendulkar
Home Page: https://github.com/MedipalleTendulkar/CNN-Dog-Breed-Classifier
bottleneck-features,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.
User: mohan-aditya05
bottleneck-features,Simple, yet fast, Python scripts to read Kaldi NNet3 models and compute bottleneck features
User: osadj
bottleneck-features,An autoencoder that improves quality of a picture
User: rainmaker29
bottleneck-features,99.7% accuracy solution for Dogs vs Cats Redux Kaggle competition
User: romankornev
bottleneck-features,
User: sabau
bottleneck-features,Image classifier with Jax and Elegy. Using as an input any net to get the bottleneck features.
User: seralexger
bottleneck-features,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.
User: sushantdhumak
bottleneck-features,Transfer Learning for Dentist diagnosis aid , an intelligent healthcare application for train/validate/test/predict.
User: yangboz
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