From 8ad7e2dd76e0adaea5dcb1e97879abbf469fd26a Mon Sep 17 00:00:00 2001 From: Landon Wilkins Date: Sat, 30 Mar 2024 05:43:44 -0600 Subject: [PATCH] fix typo in C3_W3_Lab_1_single_layer_LSTM.ipynb --- C3/W3/ungraded_labs/C3_W3_Lab_1_single_layer_LSTM.ipynb | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/C3/W3/ungraded_labs/C3_W3_Lab_1_single_layer_LSTM.ipynb b/C3/W3/ungraded_labs/C3_W3_Lab_1_single_layer_LSTM.ipynb index a96552dc..9a72f372 100755 --- a/C3/W3/ungraded_labs/C3_W3_Lab_1_single_layer_LSTM.ipynb +++ b/C3/W3/ungraded_labs/C3_W3_Lab_1_single_layer_LSTM.ipynb @@ -96,7 +96,7 @@ "source": [ "## Build and compile the model\n", "\n", - "Now you will build the model. You will simply swap the `Flatten` or `GlobalAveragePooling1D` from before with an `LSTM` layer. Moreover, you will nest it inside a [Biderectional](https://www.tensorflow.org/api_docs/python/tf/keras/layers/Bidirectional) layer so the passing of the sequence information goes both forwards and backwards. These additional computations will naturally make the training go slower than the models you built last week. You should take this into account when using RNNs in your own applications." + "Now you will build the model. You will simply swap the `Flatten` or `GlobalAveragePooling1D` from before with an `LSTM` layer. Moreover, you will nest it inside a [Bidirectional](https://www.tensorflow.org/api_docs/python/tf/keras/layers/Bidirectional) layer so the passing of the sequence information goes both forwards and backwards. These additional computations will naturally make the training go slower than the models you built last week. You should take this into account when using RNNs in your own applications." ] }, {