Deep Learning mit Python und Keras

By F. Chollet. 2018

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Dehua Liang
2. Tong Yu
3. Hong Zhu
4. Elnaz Lashgari
5. Uri Maoz
6. Gaurav Menghani
7. Kaiyi Ji
8. Guillermo Alonso Iglesias

Citations in the corpus

• Hyper-Parameter Optimization: A Review of Algorithms and Applications (2020, methodology): “Constant LR, as the simplest schedule, is often set as the default by deep learning frameworks (e.g., Keras).”
• Data Augmentation for Deep-Learning-Based Electroencephalography. (2020, background): “Deep Learning (DL) is a subfield of machine learning that focuses on computational models that typically learn hierarchical representations of the input data through successive non-linear transformations—termed neural networks (NN) (because of their superficial resemblance to biological neural netwo”