Models Models are provided for image and text classification.
Generic image models These models are pre-trained on the 1000 classes of the ImageNet ILSVRC Challenge. They can be used a is or finetuned to more targeted applications.
Caffe Tensorflow Source Top-1 Accuracy (ImageNet) AlexNet Y N BVLC 57.1% SqueezeNet Y N DeepScale 59.5% Inception v1 / GoogleNet Y Y BVLC / Google 67.
A Set of Deep Neural Network Models for Classification Below are a range of deep neural network models that are free, even for commercial use in your applications. These models have been trained over images for a range of domains. Thus they should accomodate a range of applications, from fashion item recognition to sports and gender classification.
This page lists a growing list of available models, along with information on how to use them and how they were built.
A Set of Character-Based Models for Sentiment Analysis, Ad Blocking and other tasks Below are a range of character-based deep convolutional neural networks that are free, even for commercial use in your applications. These models have been trained over various corpuses, from sentiment analysis in many languages to advertizing link classification from just reading a URL. They should accomodate a range of applications. Training your own models is made easy too and can lead to even more avenues.