Test details
TensorFlow, Google's ML platform
TensorFlow is an end-to-end open source machine learning platform. It offers a comprehensive and flexible ecosystem of tools, libraries, and community resources that allow researchers to advance in the field of machine learning, and developers to easily create and deploy applications that use this technology.
About the TensorFlow Quiz
This MCQ aims to check your basic knowledge acquired on the subject of neural network development with the TensorFlow 2 library. Thus, some questions are related to understanding the architecture of TensorFlow and other questions focus on the purely technical aspect of this library. Here are the topics covered in this test:
- Theoretical knowledge on neural networks such as the notions of assembly function and activation function.
- Knowledge of the architecture of neural networks.
- The TensorFlow APIs namely the Sequential; the Functional API and the SubClassing API.
- Callback functions.
- The role of TensorFlow methods associated with neural network models such as the compile(), fit(), evaluate() methods…
- The premature termination of the training phase of a neural network.
Test author : Madjid Khichane
About the author, Madjid KHICHANE.
After an engineering degree in Computer Science obtained at Mouloud Mammeri University in Tizi-Ouzou in Algeria then a Master's degree in Artificial Intelligence obtained at Paris 5 University (René Descartes), Madjid KHICHANE defended his PhD in Artificial Intelligence in collaboration between Claude Bernard Lyon 1 University and IBM.
This doctoral thesis gave rise to algorithmic innovations in the field of reinforcement learning which are now published in leading international conferences.
Madjid has held positions as an expert in artificial intelligence and expert in Data Science within major international groups in the field of computer technologies and particularly in the field of Data Science.
Sample question
What is the validation data used for when launching the```fit()````method?
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