| # Bacterial Foraging Optimization Algorithm | |
| # (c) Copyright 2013 Max Nanis [max@maxnanis.com]. | |
| import os, random, math, csv | |
| class BFOA(): | |
| def __init__(self, pop_size = 100, problem_size = 2, dimension = [-1, 1], elim_disp_steps = 1, repro_steps = 4, chem_steps = 30): | |
| self.step_index = 0 | |
| self.run_id = os.urandom(6).encode('hex') |
I upgraded my iPhone 5s to iOS 10 and could no longer retrieve photos from it. This was unacceptable for me so I worked at achieving retrieving my photos. This document is my story (on Ubuntu 16.04).
The solution is to compile libimobiledevice and ifuse from source.
Who is this guide intended for?
| import numpy as np | |
| import theano | |
| import theano.tensor as T | |
| import lasagne | |
| from collections import OrderedDict | |
| def get_adam_steps_and_updates(all_grads, params, learning_rate=0.001, | |
| beta1=0.9, beta2=0.999, epsilon=1e-8): | |
| t_prev = theano.shared(lasagne.utils.floatX(0.)) |
| """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: |