In this section, you’ll look at code snippets which will help you build the different kinds of RNNs that you’ve learnt so far in this module.
First, let’s look at how to build a vanilla RNN in keras.
Let’s look at how to build a many-to-one architecture in keras.
Let’s look at how to build a many-to-many (with equal length of input and out sequences) architecture in keras.
Next, let’s look at how to build an encoder-decoder architecture in keras.
Let’s look at how to build a one-to-many RNN in keras.
Here is a code snippet on how to use in keras.
Let’s see how to build LSTM networks in keras.
Let’s see how to build GRU networks in keras.
In the next segment, you’ll look at the summary of the session. you’ll also get the entire code listed in this page along with lecture notes of the module.
report an error