Restrict an index to the interval [0,max].
Test if an input value is a supported ndarray complex-valued floating-point data type.
Normalize an index to the interval [0,max].
Resolve the output data type from a list of input ndarray data types.
List of ndarray casting modes.
Return the stride along a specified dimension for a provided ndarray.
Return the data type of a provided ndarray.
Create a contiguous linear ndarray data buffer.
Pretrained hand detection model
Resolve a loop block size for multi-dimensional array tiled loops.
Converts an ndarray into an array-of-arrays
Return the ndarray data type with the smallest size and closest kind to which ndarray data types can be safely cast.
Assign elements in an input ndarray to elements in an output ndarray.
Convert a linear index in an array view to a linear index in an underlying data buffer.
FFT for ndarrays
Determine the index offset which specifies the location of the first indexed value in a multidimensional array based on a stride array.
Test if an input value is a supported ndarray real-valued data type.
Return the size (i.e., number of elements) of a specified dimension for a provided ndarray.
Return a specified flag for a provided ndarray.
Resolve a loop block size for multi-dimensional array tiled loops.
JavaScript API for face detection and face recognition in the browser with tensorflow.js
A trainable Hidden Markov Model with Gaussian emissions using TensorFlow.js
Return an index given an index mode.
Applies a homograph to an ndarray