Higgcz

# Create simple model
model = Sequential()

model.add(TimeDistributed(Convolution2D(32, 3, 3, border_mode='same'), input_shape = batch_input_shape[1:]))
model.add(Activation('relu'))
model.add(TimeDistributed(MaxPooling2D(pool_size = (2,2))))
model.add(BatchNormalization())

model.add(TimeDistributed(Convolution2D(32, 3, 3, border_mode='same')))
model.add(Activation('relu'))

Higgcz

ValueError                                Traceback (most recent call last)
/Library/Frameworks/Python.framework/Versions/3.5/lib/python3.5/site-packages/tensorflow/python/framework/tensor_shape.py in merge_with(self, other)
    562       try:
--> 563         self.assert_same_rank(other)
    564         new_dims = []

/Library/Frameworks/Python.framework/Versions/3.5/lib/python3.5/site-packages/tensorflow/python/framework/tensor_shape.py in assert_same_rank(self, other)
    608         raise ValueError(
--> 609             "Shapes %s and %s must have the same rank" % (self, other))
    610 

Higgcz

// Use Gists to store code you would like to remember later on
console.log(window); // log the "window" object to the console

Higgcz

%% -------------------------------------------------------------------------
% ( 9 ) Inference & missing values
% -------------------------------------------------------------------------

% Create inference engine
engine = jtree_inf_engine ( bnet );

% Sort brokenData to right order
brokenDataSorted = brokenData ( bnet.ordering, : )';

Higgcz

inline unsigned calcStates () {
    unsigned numStates = (unsigned) substrings[0].size() + 1;
    Word str1, str2;
    for ( vector<Word>::iterator str = substrings.begin(); (str+1) != substrings.end(); ) {
        str1 = *str;
        str2 = *(++str);
        
        unsigned i = 0;
        while (str1[i] == str2[i] && i < str1.size()) i++;
        

Higgcz

function montage(images, varargin)
%MONTAGE Display multiple images as grid
%  
%  Synopsis:
%    MYMONTAGE(images)
%    MYMONTAGE(...,PARAM1,VAL1,PARAM2,VAL2,...) displays the image, specifying
%    parameters and corresponding values that control various aspects of the
%    image display. Parameter names can be abbreviated, and case does not matter.
%
%   Parameters include:

Higgcz

//
//  UIColor+HashParser.h
//
//  Created by Vojtech Micka on 11/19/12.
//  Copyright (c) 2012 All rights reserved.
//

#import <UIKit/UIKit.h>

@interface UIColor (HexParser)

Higgcz

function [ model ] = perceptron( data, options )
%PERCEPTRON
%
% INPUT:
%   data         : struct [ 1xn ] data for training the classifier
%					.X
%					.y
%   limit        : int    [ 1x1 ] maximum number of iteration
%   options      : struc [ --- ]
%					.limit  : int    [ 1x1 ] maximum number of iteration

Higgcz

covGen = (0.5:0.001:2.5) * 10e2;
for s=1:size(covGen,2),
    L(s) = sum(log(normpdf(measurmentX1, Model.Mean, covGen(s))));
end;

Higgcz

function y = my_parzen(x, X, sigma, method)

	if ( ~exist('method', 'var') ),
		method = 'method';
	end;

	n = length(X);
	y = zeros(length(x), 1);

	switch method