From a2222f14c6267a0e69f5f99267eb05527991dfc8 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=E2=80=9CShashank?= Date: Tue, 15 Oct 2024 00:40:08 +0530 Subject: [PATCH] commented the testing lines of code --- neural_network/lstm.py | 10 +++++++--- 1 file changed, 7 insertions(+), 3 deletions(-) diff --git a/neural_network/lstm.py b/neural_network/lstm.py index f5dc4c754..d638a59d9 100644 --- a/neural_network/lstm.py +++ b/neural_network/lstm.py @@ -221,10 +221,14 @@ class LSTM: data = """Long Short-Term Memory (LSTM) networks are a type of recurrent neural network (RNN) capable of learning order dependence in sequence prediction problems. This behavior is required in complex problem domains like machine translation, speech recognition, and more. LSTMs are well-suited to classifying, processing, and making predictions based on time series data, since there can be lags of unknown duration between important events in a time series. LSTMs were introduced by Hochreiter and Schmidhuber in 1997, and were refined and popularized by many people in following work. They work by maintaining a cell state that is updated by gates: the forget gate, the input gate, and the output gate. These gates control the flow of information, allowing the network to remember or forget information as needed.""" # Initialize Network -lstm = LSTM(data=data, hidden_dim=25, epochs=1000, lr=0.05) +# lstm = LSTM(data=data, hidden_dim=25, epochs=1000, lr=0.05) ##### Training ##### -lstm.train() +# lstm.train() ##### Testing ##### -lstm.test() \ No newline at end of file +# lstm.test() + + + +# testing can be done by uncommenting the above lines of code. \ No newline at end of file