sudo apt-get install python3-pip
sudo pip3 install virtualenv
import torch | |
from torch import LongTensor | |
from torch.nn import Embedding, LSTM | |
from torch.autograd import Variable | |
from torch.nn.utils.rnn import pack_padded_sequence, pad_packed_sequence | |
## We want to run LSTM on a batch of 3 character sequences ['long_str', 'tiny', 'medium'] | |
# | |
# Step 1: Construct Vocabulary | |
# Step 2: Load indexed data (list of instances, where each instance is list of character indices) |
#!/bin/bash | |
# | |
# script to extract ImageNet dataset | |
# ILSVRC2012_img_train.tar (about 138 GB) | |
# ILSVRC2012_img_val.tar (about 6.3 GB) | |
# make sure ILSVRC2012_img_train.tar & ILSVRC2012_img_val.tar in your current directory | |
# | |
# https://github.com/facebook/fb.resnet.torch/blob/master/INSTALL.md | |
# | |
# train/ |
from keras.callbacks import Callback | |
import keras.backend as K | |
import numpy as np | |
class SGDRScheduler(Callback): | |
'''Cosine annealing learning rate scheduler with periodic restarts. | |
# Usage | |
```python | |
schedule = SGDRScheduler(min_lr=1e-5, |
n02119789 1 kit_fox | |
n02100735 2 English_setter | |
n02110185 3 Siberian_husky | |
n02096294 4 Australian_terrier | |
n02102040 5 English_springer | |
n02066245 6 grey_whale | |
n02509815 7 lesser_panda | |
n02124075 8 Egyptian_cat | |
n02417914 9 ibex | |
n02123394 10 Persian_cat |