spitis

"""adapted from https://github.com/OlavHN/bnlstm to store separate population statistics per state"""
import tensorflow as tf, numpy as np
RNNCell = tf.nn.rnn_cell.RNNCell

class BNLSTMCell(RNNCell):
    '''Batch normalized LSTM as described in arxiv.org/abs/1603.09025'''
    def __init__(self, num_units, is_training_tensor, max_bn_steps, initial_scale=0.1, activation=tf.tanh, decay=0.95):
        """
        * max bn steps is the maximum number of steps for which to store separate population stats
        """

bradmontgomery

How I organize my python projects

This is applicable to both OS X and Linux. I use the same tools on both systems. In this guide, I'm going to set up an environment for a Flask app.

Setup

1. I start by installing pip, virtualenv, then virtualenvwrapper. I seldom use virtualenv directly; I use the wrapper tools instead.
2. I create a virtualenv for my project: