start new:
tmux
start new with session name:
tmux new -s myname
import os | |
import struct | |
import numpy as np | |
""" | |
MNist loading helper for Python 2.7. | |
For Python 3.x, see https://gist.github.com/akesling/42393ccb868125071fdea77d98a0d2f0 | |
Loosely inspired by http://abel.ee.ucla.edu/cvxopt/_downloads/mnist.py |
Note on how to install caffe on Ubuntu. Sucessfully install using CPU, more information for GPU see this link
###Installation
lspci | grep -i nvidia
##VGG16 model for Keras
This is the Keras model of the 16-layer network used by the VGG team in the ILSVRC-2014 competition.
It has been obtained by directly converting the Caffe model provived by the authors.
Details about the network architecture can be found in the following arXiv paper:
Very Deep Convolutional Networks for Large-Scale Image Recognition
K. Simonyan, A. Zisserman
import tensorflow as tf | |
import numpy as np | |
import os | |
import zconfig | |
import utils | |
class DenoisingAutoencoder(object): | |
""" Implementation of Denoising Autoencoders using TensorFlow. |
# Make sure you grab the latest version | |
curl -OL https://github.com/google/protobuf/releases/download/v3.2.0/protoc-3.2.0-linux-x86_64.zip | |
# Unzip | |
unzip protoc-3.2.0-linux-x86_64.zip -d protoc3 | |
# Move protoc to /usr/local/bin/ | |
sudo mv protoc3/bin/* /usr/local/bin/ | |
# Move protoc3/include to /usr/local/include/ |
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 |
"""Perlin noise implementation.""" | |
# Licensed under ISC | |
from itertools import product | |
import math | |
import random | |
def smoothstep(t): | |
"""Smooth curve with a zero derivative at 0 and 1, making it useful for | |
interpolating. |
from keras.backend.tensorflow_backend import set_session | |
import tensorflow as tf | |
config = tf.ConfigProto() | |
config.gpu_options.allow_growth=True | |
set_session(tf.Session(config=config)) |
""" | |
Affine transforms implemented on torch tensors, and | |
only requiring one interpolation | |
Included: | |
- Affine() | |
- AffineCompose() | |
- Rotation() | |
- Translation() | |
- Shear() |