TensorFlow MCQs
TensorFlow MCQs
Our team has conducted extensive research to compile a set of TensorFlow MCQs. We encourage you to test your TensorFlow knowledge by answering these 10 multiple-choice questions provided below.
Simply scroll down to begin!
1: TensorFlow is a free and open-source ............. based library for machine learning.
A. Python
B. Java
C. PHP
D. Angular
2: TensorFlow is developed by .................
A. IBM Team
B. Microsoft Team
C. Google Brain team
D. None of the above
3: TensorFlow was initially released in .................
A. November 9, 2015
B. November 8, 2015
C. October 9, 2015
D. November 9, 2016
4: Tensorflow is written in which language?
A. C++
B. Python
C. CUDA
D. All of the above
5: Tensorflow attracts the largest popularity on GitHub compare to the other deep learning framework.
A. True
B. False
6: Tensorflow supports which python version?
A. Python 3.0
B. Python 3.3
C. Python 3.5
D. Python 3.6–3.9
7: Tensorflow is a symbolic math library based on .............
A. Dataflow
B. Differentiable programming
C. Both Dataflow & Differentiable programming
D. None of the above
8: There are ........... main tensor type you can create in TensorFlow.
A. 2
B. 3
C. 4
D. 5
9: What is the Advantage of TensorFlow?
A. It has excellent community support.
B. It is designed to use various backend software (GPUs, ASIC), etc. and also highly parallel.
C. It has a unique approach that allows monitoring the training progress of our models and tracking several metrics.
D. All of the above
10: What are the disadvantages of TensorFlow?
A. Missing Symbolic loops
B. No supports for windows
C. No GPU support for Nvidia
D. All of the above
11: What are the Features of TensorFlow?
A. Flexible & Open Source
B. Easily Trainable & Layered Components
C. Open Source & Responsive Construct
D. All of the above
12: TensorFlow has only supported 64-bit Python 3.5.x or Python 3.6.x on Windows.
A. True
B. False
13: TensorFlow managers handle the full lifecycle of Servables, except ..............
A. Serving Servables
B. Metrics Servables
C. Loading Servables
D. Unloading Servables
14: When was Tensorflow 2.0 released?
A. September 2019
B. October 2019
C. August 2019
D. November 2019
15: Why tensorflow uses computational graphs?
A. Graphs are easy to plot
B. Calculations can be done in parallel
C. Tensors are nothing but computational graphs
D. All of the above
16: What is the use of a session in TensorFlow?
A. We launch the graph in a session
B. A session is used to download the data
C. The current work space session for storing the code
D. A session is used for exporting data out of TensorFlow
17: What are the different dashboards in TensorFlow?
A. Scalar Dashboard
B. Histogram Dashboard
C. Distributer Dashboard
D. All of the above
18: Which of the following tool is a deep learning wrapper on TensorFlow?
A. Keras
B. Azure
C. Python
D. PyTourch
19: Can we use GPU for faster computations in TensorFlow?
A. Yes
B. No
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TensorFlow MCQs
