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Functions
average_pool(...): Average pooling operation.
batch_normalization(...): Normalizes x by mean and variance.
binary_crossentropy(...): Computes binary cross-entropy loss between target and output tensor.
categorical_crossentropy(...): Computes categorical cross-entropy loss between target and output tensor.
conv(...): General N-D convolution.
conv_transpose(...): General N-D convolution transpose.
ctc_decode(...): Decodes the output of a CTC model.
ctc_loss(...): CTC (Connectionist Temporal Classification) loss.
depthwise_conv(...): General N-D depthwise convolution.
elu(...): Exponential Linear Unit activation function.
gelu(...): Gaussian Error Linear Unit (GELU) activation function.
hard_sigmoid(...): Hard sigmoid activation function.
hard_silu(...): Hard SiLU activation function, also known as Hard Swish.
hard_swish(...): Hard SiLU activation function, also known as Hard Swish.
leaky_relu(...): Leaky version of a Rectified Linear Unit activation function.
log_sigmoid(...): Logarithm of the sigmoid activation function.
log_softmax(...): Log-softmax activation function.
max_pool(...): Max pooling operation.
moments(...): Calculates the mean and variance of x.
multi_hot(...): Encodes integer labels as multi-hot vectors.
normalize(...): Normalizes x over the specified axis.
one_hot(...): Converts integer tensor x into a one-hot tensor.
relu(...): Rectified linear unit activation function.
relu6(...): Rectified linear unit activation function with upper bound of 6.
selu(...): Scaled Exponential Linear Unit (SELU) activation function.
separable_conv(...): General N-D separable convolution.
sigmoid(...): Sigmoid activation function.
silu(...): Sigmoid Linear Unit (SiLU) activation function, also known as Swish.
softmax(...): Softmax activation function.
softplus(...): Softplus activation function.
softsign(...): Softsign activation function.
sparse_categorical_crossentropy(...): Computes sparse categorical cross-entropy loss.
swish(...): Sigmoid Linear Unit (SiLU) activation function, also known as Swish.