Fix doc
Fixed doc for consistency
@@ -201,7 +201,7 @@ def standardize_sample_weights(sample_weight, output_names):
def check_array_length_consistency(inputs, targets, weights=None):
- """Checks if batch axes are the same for numpy arrays.
+ """Checks if batch axes are the same for Numpy arrays.
# Arguments
inputs: list of Numpy arrays of inputs.
@@ -443,7 +443,7 @@ def standardize_weights(y,
the targets (i.e. we are weighting timesteps, not samples).
# Returns
- A numpy array of target weights, one entry per sample to weight.
+ A Numpy array of target weights, one entry per sample to weight.
# Raises
ValueError: In case of invalid user-provided arguments.
@@ -550,9 +550,9 @@ def check_num_samples(ins,
exclusive.
# Returns
- When steps is `None`, returns the number of samples to be
+ When `steps` is `None`, returns the number of samples to be
processed based on the size of the first dimension of the
- first input numpy array. When steps is not `None` and
+ first input Numpy array. When `steps` is not `None` and
`batch_size` is `None`, returns `None`.
# Raises
