I'm new to RNN, and I'm trying to figure out the specifics of LSTM cells and they're relation to TensorFlow: Colah GitHub
Does the GitHub website's example uses the same LSTM cell compared to TensorFlow? The only thing I got on the TensorFlow site was that basic LSTM cells uses the following architecture: Paper If it's the same architecture then I can hand compute the numbers for a LSTM cell and see if it matches.
Also when we set a basic LSTM cell in tensorflow, it takes in a num_units according to: TensorFlow documentation
tf.nn.rnn_cell.GRUCell.__init__(num_units, input_size=None, activation=tanh)
Is this number of hidden state (h_t)) and cell state (C_t)?
According to the GitHub website, there isn't any mention the number of cell state and hidden states. I'm assuming they have to be the same number?