Building A Recurrent Neural Network From Scratch In Python

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We can think of the RNN model shown in figure 1 as a repeated use of a single cell shown in figure 2. First, we will implement a single cell and then we can loop through it to stack multiple of these single cells over each other and create the forward pass of the RNN model. The basic RNN cell takes as input? Let's implement the RNN cell shown in figure 2 through these four main steps: Let's first implement the softmax activation function:

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