Calculate overlapping values between two arrays and return the results as a DataFrame

Determine if an array is compatible with a single memory segment.

Determine if an array is column-major contiguous.

Given a stride array, determine whether an array is row-major.

Return the strides of a provided ndarray.

Return the strides of a provided ndarray.

Convert subscripts to a linear index.

Determine if a buffer length is compatible with provided ndarray meta data.

Return the stride along a specified dimension for a provided ndarray.

Convert a linear index in an array view to a linear index in an underlying data buffer.

Compute the minimum and maximum linear indices in an underlying data buffer which are accessible to an array view.

Determine if an array is contiguous.

Return the stride along a specified dimension for a provided ndarray.

CNN

Generate a stride array from an array shape.

Given a stride array, determine array iteration order.

Convert a linear index in an underlying data buffer to a linear index in an array view.

Given a stride array, determine whether an array is column-major.

Compute the maximum linear index in an underlying data buffer accessible to an array view.

The Deep Learning Concepts Repository is a concise and accessible collection of essential concepts in deep learning. It provides clear explanations and examples for neural networks, CNNs, RNNs, activation functions, loss functions, backpropagation, gradient descent, and overfitting/underfitting. An invaluable resource for beginners and practitioner