Hammer of the Gods
convert back the u8 bytes to utf8
a random split into training and test sets
A proc-block takes a passage and a question as input and gives us BERT Encoding in form of input_ids, input_masks, segment_ids as output
It parses the text from a start logit to an end logit
Read an input from the environment.
a supervised learning models with associated learning algorithms that analyze data for regression analysis
a binary classifier that uses an optimal hyperplane to separate the points in the input variable space by their class.
Find the normalised exponential function (softmax).
This proc-block is useful in image segmentation.
a proc-block to find Mean Absolute Error and Mean Squared Error. used for assessing evaluation and performace of the model.
It takes the utf8 strings as input and return 0, 1, 2 based on the utf8 string length
Parse a string tensor into a tensor of numeric values.
A proc-block which filter the object detected by an Object Detection model to: 1. remove duplicate detection for a single object 2. remove the objects with low confidence
normalizes the input to the range [0, 1]
reduces noise and applies a gain control algorithm within each frequency bin.
Given some confidence values, create a tensor containing the indices of the top N highest confidences.
Apply the modulus operator to each element in a tensor.
for assessing model evaluation and performace of model
a statistical model that models the probability of one event taking place by having the log-odds for the event be a linear combination of one or more independent variables.
a linear approach for modelling the relationship between a scalar response and one or more explanatory variables.
Using a wordlist, retrieve the label that corresponds to each element in a tensor.
Read an image from the environment.
A normalization routine takes the image matrix as input and fits their values to the range [0, 1] as f32's.
converts a signal from its original domain (often time or space) to a representation in the frequency domain.
a proc-block used to calculate f1-score
an extension of linear regression that adds L1 and L2 regularization penalties to the loss function during training
A proc-block takes a probability (0.0 to 1.0) score as input and divides the output into two classes ( 0 or 1) based on a threshold
Converted values from i16 data type to a floating-point value.
Find the index of the largest element.
calculates accuracy of predicted labels when compared to true labels