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reduce_sum Computes the sum of elements across dimensions of a tensor. - keepdims=False The rank of the tensor is reduced by 1 for each of the entries in axis A = tf.constant([[[1, 2, 3]], [[4, 5, 6]]]) tf.reduce_sum(A)=21 tf.reduce_sum(A, 0)=[[5 7 9]] tf.reduce_sum(A, 1)=[[1 2 3] [4 5 6]] tf.reduce_sum(A, 2)=[[ 6] [15]] - keepdims=True The reduced dimensions are retained with length 1. tf.reduc..

logging Logging is a means of tracking events that happen when some software runs. The software’s developer adds logging calls to their code to indicate that certain events have occurred. An event is described by a descriptive message which can optionally contain variable data (i.e. data that is potentially different for each occurrence of the event). Log Levels The log has a level one of these ..

Sigmoid With only two classes, performs exactly the same operation as Softmax. Logits It refers to the stage before passing the final Sigmoid or Softmax, that is, the Raw Output of the Model. Sigmoid and Softmax receive the Logits to safely perform the operation. Softmax For multi-label available only, where one object can have multiple classes at the same time. 1. Softmax case1. 1d array. step1..

EntropyThe level of uncertainty. It must range between 0 and 1.0            entropy            1certain                          uncertainThe greater the value of entropy, the greater the uncertainty for probability,the smaller the value the less the uncertainty. reference : towardsdatascience.com/cross-entropy-loss-function-f38c4ec8643e Cross-EntropyHow far it is from the actual expected value,..

Aperture size of the opening where the light enters the camera. Controls the amount of light received by the sensor. Calibration process of estimating a camera's parameters. Focal length / field of view this parameter controls the angle of view of the image. Grayscale images single channel images that only contain information about the intensity of the light. HLS/HSV color model encoding the col..