Kategori: deep learning
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Gopher Language Model
DeepMind introduces a 280B parameter language model named Gopher. Investigates its effectiveness in reading comprehension & other complex tasks such as logical reasoning. Ethics & risks are also discussed. Links: Article: https://deepmind.com/blog/article/language-modelling-at-scale Paper: “Scaling Language Models: Methods, Analysis & Insights from Training Gopher“
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Introduction to Deep Learning (MIT 6.S191)
URL: http://introtodeeplearning.com/
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Simple Image Classification with Keras
Keras logo There are several kind of image classification: Binary classification Multiclass classification Multi label classification Image generation method for training image.ImageGenerator.flow_from_directory() image.ImageGenerator.flow() Various models for training (built on model) Xception VGG16 VGG19 Resnet50 InceptionV3 InceptionResNetV2 MobileNet DenseNet NASNet MobileNetV2 Keras built in models usually have pre-trained weight on Imagenet, which significantly speeds up training,…
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How to Save a Keras Model to a JSON file
To save a keras model to a json file, simply use this code: model_json = model.to_json() with open(“model.json”, “w”) as json_file: json_file.write(model_json) where model is a keras model object.
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Image Captioning Models and Fabrik
No Name URL Framework Note Fabrik 1 NeuralTalk https://github.com/karpathy/neuraltalk Python + numpy obsoleted by NeuralTalk2 2 NeuralTalk2 https://github.com/karpathy/neuraltalk2 Torch Torch incompatible with Fabriq 3 Show and Tell https://github.com/tensorflow/models/tree/master/research/im2txt Tensorflow Tensorflow parser Fabriq incompatible with Fabriq 4 Keras Image Caption https://github.com/LemonATsu/Keras-Image-Caption Keras requires python 3.4+ fail with python 3.6 5 Image Captioning with Spatial Attention in…