A Practical Approach to Timeseries Forecasting Using Python - LSTM Implementation on Dataset

What is the first step in developing an LSTM model?

• Adding a dense layer

• Creating a sequential model

• Compiling the model

• Setting the optimizer

What is the purpose of a dropout layer in a neural network?

• To increase the number of neurons

• To prevent overfitting by dropping neurons

• To enhance the activation function

• To adjust the learning rate

Which optimizer is used in the model compilation?

• SGD

• Adam

• RMSprop

• Adagrad

What is the loss function used in the model?

• Cross-entropy

• Huber loss

• Mean Squared Error (MSE)

• Hinge loss

How many epochs are set for training the model?

• 100

• 62

• 50

• 30

What is the batch size used during model training?

• 64

• 32

• 8

• 16

What percentage of data is typically used for validation?

• 30-40%

• 20-30%

• 10-20%

• 5-10%