How to use a linear activation function in TensorFlow?
<p>In CUDA ConvNet, we can specify the neuron activation function to be linear by writing <code>neuron=linear[a,b]</code>, such that <code>f(x) = ax + b</code>.</p>

<p>How can I achieve the same result in TensorFlow?</p>