Posted On: Feb 22, 2018
TensorFlow provides techniques to minimize the complexity of optimizing inference. Model quantization is used for reduced precision and representations of weights and also, in some cases, activations for storage and computation. It has several benefits to the users -
Never Miss an Articles from us.
Tensors can be thought of as vectors and matrices of higher dimensions. They represent n-dimensional arrays of base data-type. Each element of a tensor is of the same data-type which is always known. ...