Frequently Asked Questions for Keras
Keras is the high-level API of TensorFlow 2: an approachable, highly-productive interface for solving machine learning problems, with a focus on modern deep learning. It provides essential abstractions and building blocks for developing and shipping machine-learning solutions with high iteration velocity. This Keras test looks at candidates’ understanding and abilities in Data Loading and Preprocessing, Building and Training models, Monitoring, Debugging, and accelerating.
The test assesses candidates’ abilities to implement the Keras library for Deep learning and working with Artificial Neural Networks.
- Machine Learning Engineer
- Data Scientist
- Introduction
- Data Loading and Processing
- Building and Training Models
- Monitoring
- Debugging and Accelerating
- Providing a high-level interface for building and training deep learning models using either the TensorFlow or Theano backends.
- Supporting the creation of a wide range of model architectures, including convolutional neural networks (CNNs) and recurrent neural networks (RNNs).
- Providing a range of built-in layers, activations, and optimizers for building deep learning models.