tf.compat.v1.nn.raw

Computes Relu(x * weight + biases).

tf.compat.v1.nn.relu_layer(
    x, weights, biases, name=None
)

Args
`x`	a 2D tensor. Dimensions typically: batch, in_units
`weights`	a 2D tensor. Dimensions typically: in_units, out_units
`biases`	a 1D tensor. Dimensions: out_units
`name`	A name for the operation (optional). If not specified "nn_relu_layer" is used.

Returns
A 2-D Tensor computing relu(matmul(x, weights) + biases). Dimensions typically: batch, out_units.

TensorFlow

tf.compat / v1 / v1.nn.raw_rnn

Args

Returns

TensorFlow

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tf.compat / v1 / v1.nn.raw_rnn

Args

Returns