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

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

numpy pandas

The code uses the random.rand function from the numpy library to generate a 10x10 random integer array, or uses the read_csv function from the pandas library to read a CSV file, or uses the pyplot.plot function from the matplotlib library to draw a simple chart, or uses the root_scalar function from the scipy library to solve the root of an equation, or uses the make_classification function from the sklearn library to generate a classification dataset, or uses the imread function from the opencv-python library to read an image, or uses the keras.Sequential model from the tensorflow library to create a simple neural network model, or uses the torch.randn function from the pytorch library to generate a random tensor.

The type of code 2024-12-16 12:07:47 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

Keras

The function creates a simple sequential model using the Keras library and adds an embedding layer to convert a word list into embedding vectors. This function can be used for word vectorization.

The type of code 2024-12-16 12:02:45 7 views

Keras LSTM

The function defines a Keras-based random walk model for predicting time series data such as stock prices. The model uses LSTM layers to handle sequence data and uses mean squared error as the loss function.

The type of code 2024-12-16 12:02:27 4 views