Junior engineer attending a senior engineering interview. Post: 303029584

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The Lounge What is on Your Mind? Junior engineer attending a senior engineering interview. Post 303029584 by Neo on Tuesday 29th of January 2019 09:02:51 AM

01-29-2019

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Interviewing is quite simple.

Show genuine interest in the candidate, their family, education, experience and favorite projects. You can use their resume to help you if they are not quickly to volunteer information or shy or nervous.
Also, ask the candidate if there is anything they would like to know about your company, culture, projects, containing education, benefits or current technologies.
Just be genuinely interested in the candidate and ask the candidate what they are interested it
Try to spend about half the interview time on each of the two major areas above

Simple.

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fann_get_cascade_num_candidates

FANN_GET_CASCADE_NUM_CANDIDATES(3)					 1					FANN_GET_CASCADE_NUM_CANDIDATES(3)

fann_get_cascade_num_candidates - Returns the number of candidates used during training

SYNOPSIS

       int fann_get_cascade_num_candidates (resource  $ann)

DESCRIPTION

	The  number  of  candidates  used during training (calculated by multiplying fann_get_cascade_activation_functions_count(3), fann_get_cas-
       cade_activation_steepnesses_count(3) and fann_get_cascade_num_candidate_groups(3)).

	The actual candidates is defined by the fann_get_cascade_activation_functions(3)  and  fann_get_cascade_activation_steepnesses(3)  arrays.
       These arrays define the activation functions and activation steepnesses used for the candidate neurons. If there are 2 activation functions
       in the activation function array and 3 steepnesses in the steepness array, then there will be 2x3=6  different  candidates  which  will	be
       trained.  These	6  different candidates can be copied into several candidate groups, where the only difference between these groups is the
       initial weights. If the number of groups is set to 2, then the number of candidate neurons will be 2x3x2=12. The number of candidate groups
       is defined by fann_set_cascade_num_candidate_groups(3).

	The default number of candidates is 6x4x2 = 48

PARAMETERS

	      o $ann
		-Neural network resource.

RETURN VALUES

	The number of candidates used during training, or FALSE on error.

SEE ALSO

       fann_get_cascade_activation_functions(3),    fann_get_cascade_activation_functions_count(3),    fann_get_cascade_activation_steepnesses(3),
       fann_get_cascade_activation_steepnesses_count(3), fann_get_cascade_num_candidate_groups(3).

PHP Documentation Group 											FANN_GET_CASCADE_NUM_CANDIDATES(3)