Googles Deep-Net Inception-v3 retrained on Trump pictures
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Updated
Feb 4, 2017
Googles Deep-Net Inception-v3 retrained on Trump pictures
Affective Computing and Human Robot Interaction project to identify emotions in paintings using transfer learning
Trainning Inception v3 model with Keras, and predict with MPS on iOS.
Biryani-or-Not-Biryani is a Biryani classifier which predict a image is Biryani or not.
Kotlin script to retrain Google's Inception model using videos, and optimize the model for classification on Android.
Another version of 'Not Hotdog' in Silicon Valley.
Generating deep dream visualisations using activation feature maps of a pretrained Google Inception-v3 Convolutional Network
Inception V3 for Transfer Learning on Cats and Dogs
Trabajo fin Programa Experto en Big Data: Procesar set de imágenes de MIRFLICKR en Spark TendorFlow Inception y entrenar modelo para inferencia de etiquetas. Clasificación de imágenes subidas a Twitter con Storm.
Analyze and classify videos in the UCF101 dataset
Pytorch Imagenet Models Example + Transfer Learning (and fine-tuning)
官方所有Models实现
A simple image classification test using Core ML and Inception V3 model in Objective-C
cozmo what is this. I'm thinking! oh it is the coffee mug
shazam for food - ios app 🌭🔍
My project to recreate the results in "Understanding Deep Learning Requires Rethinking Generalization"
A computer vision iOS app
I explain how to export weights from a Keras model and import those weights in Keras.js, a JavaScript framework for running pre-trained neural networks in the browser. I show you later how to include the final result into a Phonegap Cordova mobile application.
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