Keras LSTM

This function creates a randomly configured LSTM model, including a random input layer shape, number of LSTM layers and neurons in each layer, as well as a random Dense layer.

The type of code 2024-12-16 12:17:30 14 views

Keras Sequential

This function uses the Sequential model and LSTM layer from the Keras library to generate random time series data and trains a simple LSTM model.

The type of code 2024-12-16 12:12:58 4 views

Keras LSTM

This function uses the Keras library's LSTM and Dense layers to create a simple sequence-to-sequence model to fit a random sequence.

The type of code 2024-12-16 12:12:21 9 views

The code

This code defines a function named `generate_random_sequence` that uses the Keras library to create a random sequence generator model. The function can accept an input sequence and generate a random output sequence with a length specified by the `num_steps` parameter. The function supports different types of recurrent neural network layers, such as LSTM, and can choose whether to return the sequence.

The type of code 2024-12-16 12:10:54 4 views

The code

The code first generates time series data with noise, then trains an LSTM model to predict the data, and finally uses the model to make predictions.

The type of code 2024-12-16 12:10:14 7 views

Keras LSTM

This function uses the Keras library to create a simple sequence generation model that takes an input sequence and generates a random output sequence. The model uses LSTM layers to handle sequence data and Dropout layers to prevent overfitting.

The type of code 2024-12-16 12:09:30 5 views

Keras LSTM

This function uses the Keras library to create a simple neural network model for generating random sequences, including an LSTM layer and a Dense layer, to learn data patterns from input sequences and predict output sequences.

Neural network model for generating random sequences 2024-12-16 12:08:57 3 views

Keras Numpy

This function generates a simple sequence prediction model using LSTM (Long Short-Term Memory) layers for training, and finally uses softmax activation function to output a probability distribution.

Neural network model generating function 2024-12-16 12:08:28 4 views

Keras LSTM

This code defines a function that uses the Keras library to create a simple LSTM model for generating random sequence data.

The type of code 2024-12-16 12:05:09 3 views

Keras Sequential

This function uses Keras' Sequential and LSTM models to generate random sequences. The input data is an array with shape (batch_size, timesteps, features), and the function outputs random sequences with the same shape as the input data.

The type of code 2024-12-16 12:03:34 3 views