Deep learning. Recurrent neural networks with TensorFlow.
Recurrent Neural Networks are a type of deep learning architecture designed to process sequential data, such as time series, text, speech, and video. RNNs have a memory mechanism, which allows them to preserve information from past inputs and use it to inform their predictions. TensorFlow 2 is a pop...
Full description
Bibliographic Details
| Format: | Unknown
|
|---|
| Language: | English |
|---|
| Published: |
[Place of publication not identified] :
Packt Publishing,
[2023]
|
|---|
| Subjects: |
|
|---|