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Show, Attend, and Tell | a PyTorch Tutorial to Image Captioning
A neural network architecture(CNN+LSTM) that automatically generates captions from the images. The model uses ResNet architecture to train the Encoder while DecoderRNN has to be trained with our choice of trainable parameters. I have trained the model on the Microsoft Common Objects in COntext (MS COCO) dataset and have tested the network on fictitious images!
TensorFlow documentation
New model to achieve the better performance at a low cost. And I hope it will be a tutorial of image capture because I took really easy steps.
ECE 285 Image_captioning
I decide to sync up this repo and self-critical.pytorch. (The old master is in old master branch for archive)
A resource for learning about ML, DL, PyTorch and TensorFlow. Feedback always appreciated :)
PyTorch Tutorial for Deep Learning Researchers
TensorFlow Tutorials with YouTube Videos
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