Leonid Keselman leonidk
omoindrot
/ tensorflow_finetune.py
Last active
February 25, 2024 15:00
Example TensorFlow script for fine-tuning a VGG model (uses tf.contrib.data)
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| """ | |
| Example TensorFlow script for finetuning a VGG model on your own data. | |
| Uses tf.contrib.data module which is in release v1.2 | |
| Based on PyTorch example from Justin Johnson | |
| (https://gist.github.com/jcjohnson/6e41e8512c17eae5da50aebef3378a4c) | |
| Required packages: tensorflow (v1.2) | |
| Download the weights trained on ImageNet for VGG: | |
| ``` | |
| wget http://download.tensorflow.org/models/vgg_16_2016_08_28.tar.gz |
jcjohnson
/ pytorch_finetune.py
Last active
June 19, 2024 17:28
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| import argparse | |
| import torch | |
| import torch.nn as nn | |
| from torch.autograd import Variable | |
| from torch.utils.data import DataLoader | |
| import torchvision | |
| import torchvision.transforms as T | |
| from torchvision.datasets import ImageFolder |
siemanko
/ tf_lstm.py
Last active
July 26, 2023 06:57
Simple implementation of LSTM in Tensorflow in 50 lines (+ 130 lines of data generation and comments)
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| """Short and sweet LSTM implementation in Tensorflow. | |
| Motivation: | |
| When Tensorflow was released, adding RNNs was a bit of a hack - it required | |
| building separate graphs for every number of timesteps and was a bit obscure | |
| to use. Since then TF devs added things like `dynamic_rnn`, `scan` and `map_fn`. | |
| Currently the APIs are decent, but all the tutorials that I am aware of are not | |
| making the best use of the new APIs. | |
| Advantages of this implementation: |