{"id":16921,"date":"2018-06-09T04:00:56","date_gmt":"2018-06-09T04:00:56","guid":{"rendered":"https:\/\/data-flair.training\/blogs\/?p=16921"},"modified":"2021-05-14T11:00:07","modified_gmt":"2021-05-14T05:30:07","slug":"tensorflow-interview-questions","status":"publish","type":"post","link":"https:\/\/data-flair.training\/blogs\/tensorflow-interview-questions\/","title":{"rendered":"Top 30 TensorFlow Interview Questions &amp; Answers"},"content":{"rendered":"<p><span style=\"font-weight: 400\">We saw a comprehensive understanding of <strong>what is Tensorflow<\/strong>, its procedures, how to create programs and different operations associated with it. Now we will cover some of the important and most frequently asked Tensorflow interview questions and answers. <\/span><\/p>\n<p><span style=\"font-weight: 400\">These TensorFlow Interview\u00a0Questions will help both freshers and experienced to crack TensorFlow Interview. <\/span><\/p>\n<p><span style=\"font-weight: 400\">So, let start the best TensorFlow Interview Questions and Answers.<\/span><\/p>\n<h2>30 Mostly Asked TensorFlow Interview Questions &amp; Answers<\/h2>\n<p>Here, we are providing you with some tricky TensorFlow interview questions and answers that will help TensorFlow beginners and professionals to crack the TensorFlow interview<\/p>\n<p><strong>Q1. What is Tensorflow?<\/strong><\/p>\n<p><span style=\"font-weight: 400\">TensorFlow is a machine learning library created by the Brain Team of Google and made open source in 2015. <\/span><\/p>\n<p><span style=\"font-weight: 400\">Basically, Tensorflow is a low-level toolkit for doing complicated math and it offers the users customizability to build experimental learning architectures, to work with them and to turn them into running software.<\/span><\/p>\n<p><strong>Q2. What does the latest release of TensorFlow have\u00a0to offer?<\/strong><br \/>\n<span style=\"font-weight: 400\">The latest release of TensorFlow is 1.7.0 and is available on www.tensorflow.org. It has been designed with deep learning in mind but applicable to a much wider range of problems.<\/span><\/p>\n<p><b>Q3. What are Tensors?<\/b><br \/>\n<span style=\"font-weight: 400\">Tensors are higher dimensional arrays which are used in computer programming to represent a multitude of data in the form of numbers. <\/span><\/p>\n<p><span style=\"font-weight: 400\">There are other n-d array libraries available on the internet like Numpy but TensorFlow stands apart from them as it offers methods to create tensor functions and automatically compute derivatives.<\/span><\/p>\n<p><b>Q4. What is a TensorBoard?<\/b><br \/>\n<span style=\"font-weight: 400\">TensorBoard, a suit of visualizing tools, is an easy solution to Tensorflow offered by the creators that lets you visualize the graphs, plot quantitative metrics about the graph with additional data like images to pass through it.<\/span><br \/>\n<b><\/b><\/p>\n<p><b>Q5. What are the features of TensorFlow?<\/b><br \/>\n<span style=\"font-weight: 400\">Tensorflow has APIs for Matlab, and C++ and has a wide language support. <\/span><\/p>\n<p><span style=\"font-weight: 400\">With each day passing by, researchers working on making it more better and recently in the latest Tensorflow Summit, tensorflow.js, a javascript library for training and deploying machine learning models has been introduced.<\/span><\/p>\n<p><b>Q6. List a few advantages of TensorFlow?<\/b><\/p>\n<ul>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">It has platform flexibility<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">It is easily trainable on CPU as well as GPU for distributed computing.<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">TensorFlow has auto differentiation capabilities <\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">It has advanced support for threads, asynchronous computation, and queue es.<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">It is a customizable and open source.<\/span><\/li>\n<\/ul>\n<p><b>Q7. List a few limitations of Tensorflow.<\/b><\/p>\n<ul>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Has GPU memory conflicts with Theano if imported in the same scope.<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">No support for OpenCL<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Requires prior knowledge of advanced calculus and linear algebra along with a pretty good understanding of machine learning.<\/span><\/li>\n<\/ul>\n<p><b>Q8. What are TensorFlow servables?<\/b><\/p>\n<p>These are the central rudimentary units in TensorFlow Serving.\u00a0 Objects that clients use to perform the computation are called Servables.<\/p>\n<p><span style=\"font-weight: 400\">The size of a servable is flexible. A single servable might include anything from a lookup table to a single model to a tuple of inference models.\u00a0<\/span><\/p>\n<p><b>Q9. What do the TensorFlow managers do?<\/b><\/p>\n<p><span style=\"font-weight: 400\">Tensorflow Managers handle the full lifecycle of Servables, including:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Loading Servables<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Serving Servables<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Unloading Servables<\/span><\/li>\n<\/ul>\n<p><b>Q10. What are TensorFlow loaders?<\/b><\/p>\n<p><span style=\"font-weight: 400\">Tensorflow Loaders are used for adding algorithms and data backends one of which is tensorflow itself. For example, a loader can be implemented to load, access and unload a new type of servable machine learning model.<\/span><\/p>\n<p><strong>TensorFlow Interview Questions and Answers for Freshers. Q- 1,2,3,4,5,6,7,8<\/strong><\/p>\n<p><strong>TensorFlow Interview Questions and Answers for Experience. Q- 9, 10<\/strong><\/p>\n<p><b>Q11. What is deep speech?<\/b><\/p>\n<p>Deep Speech<span style=\"font-weight: 400\">\u00a0developed by Mozilla is a TesnsorFlow implementation motivated by Baidu&#8217;s Deep Speech architecture.<\/span><\/p>\n<p><b>Q12.What do you mean by sources in TensorFlow?<\/b><\/p>\n<p><span style=\"font-weight: 400\">Sources are in simple terms, modules that find and provide servables. Each Source provides zero or more servable streams. One Loader is supplied for each servable version it makes available to be loaded.<\/span><\/p>\n<p><b>Q13. How does TensorFlow make use of the python API?<\/b><\/p>\n<p><span style=\"font-weight: 400\">Python is the most recognisable and \u201cthe main\u201d language when it comes to TensorFlow and its development. The first language supported by TensorFlow and still supports most of the features. It seems as TensorFlow\u2019s functionality first define in Python and then moved to C++.<\/span><\/p>\n<p><b>Q14. What are the APIs inside the TensorFlow project?<\/b><\/p>\n<p>The API\u2019s inside TensorFlow are still Python-based and they have low-level options for its users such as\u00a0tf.manual or\u00a0tf.nnrelu\u00a0which use to build neural network architecture. These APIs also use to aid designing deep neural network having higher levels of abstraction.<\/p>\n<p><b>Q15. What are the APIs outside TensorFlow project?<\/b><\/p>\n<ul>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\"><strong>TFLearn:<\/strong> This API shouldn\u2019t be seen as TF Learn, which is TensorFlow\u2019s \u00a0tf.contrib.learn. It is a separate Python package.<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\"><strong>TensorLayer: <\/strong>It comes as a separate package and is different from what TensorFlow\u2019s layers API has in its bag.<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\"><strong>Pretty Tensor:<\/strong> It is actually a Google project which offers a fluent interface with chaining.<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\"><strong>Sonnet:<\/strong> It is a project of Google\u2019s DeepMind which features a modular approach.<\/span><\/li>\n<\/ul>\n<p><b>Q16. How does TensorFlow use the C++ API?.<\/b><\/p>\n<p><span style=\"font-weight: 400\">The runtime of TensorFlow is written in C++ and mostly C++ is connected to TensorFlow through header files in tensorflow\/cc. C++ API still is in experimental stages of development but Google is committed to working with C++.<\/span><br \/>\n<b><\/b><\/p>\n<p><b>Q17.<\/b> <b>In TensorFlow, what exactly Bias and Variance are? Do you find any similarity between them?<\/b><\/p>\n<p><span style=\"font-weight: 400\">In the learning algorithms, Biases can consider as errors which can result in failure of entire model and can alter the accuracy. <\/span>Some experts believe these errors are essential to enable leaner\u2019s gain knowledge from a training point of view<span style=\"font-weight: 400\">. <\/span><\/p>\n<p><b>Q18. <\/b><b>Can TensorFlow be deployed in container software?<\/b><\/p>\n<p><span style=\"font-weight: 400\">Tensorflow can also use with containerization tools such as docker, for instance, it could use to deploy a sentiment analysis model which uses character level ConvNet networks for text classification.<\/span><span style=\"font-weight: 400\">\u00a0<\/span><\/p>\n<p><b>Q19. <\/b><b>What exactly Neural Networks are? What are the types of same you are familiar with?<\/b><\/p>\n<p><span style=\"font-weight: 400\">Neural networks as the name suggests are a network of elemental processing entities that together make a complex form. There can be Artificial Neural Networks and Biological Neural Networks. The use of artificial neural networks is more common as they try to imitate the mechanics of the human brain.<\/span><\/p>\n<p><b>Q20. <\/b><b>What are the general advantages of using the Artifical Neural Networks?<\/b><\/p>\n<p><span style=\"font-weight: 400\">They use to find answers to complex problems in a\u00a0stepwise manner. <\/span>All the information that a network can receive can easily be in any format. They also make use of real-time operations along with a good tolerance capability.<\/p>\n<p><strong>TensorFlow Interview Questions and Answers for Freshers. Q- 11,12,14,15,16,19<\/strong><\/p>\n<p><strong>TensorFlow Interview Questions and Answers for Experience. Q- 13,17,18,20<\/strong><\/p>\n<p><b>Q21. <\/b><b>What exactly do you know about Recall and Precision?<\/b><\/p>\n<p><span style=\"font-weight: 400\">The other name of Recall is the true positive rate.<\/span> It is the overall figure of positiveness a model can generally claim. The predictive value which is generally positive in nature is Precision.<\/p>\n<p>T<span style=\"font-weight: 400\">he difference between the true positive rate and claimed positive rate can be defined with the help of both these options.\u00a0<\/span><\/p>\n<p><b>Q22. <\/b><b>Name some products built using TensorFlow?<\/b><\/p>\n<p>TensorFlow built the following products:<\/p>\n<div id=\"attachment_16940\" style=\"width: 1210px\" class=\"wp-caption aligncenter\"><a href=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/05\/products-built-using-TensorFlow-01.jpg\"><img loading=\"lazy\" decoding=\"async\" aria-describedby=\"caption-attachment-16940\" class=\"wp-image-16940 size-full\" src=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/05\/products-built-using-TensorFlow-01.jpg\" alt=\"TensorFlow Interview Questions\" width=\"1200\" height=\"628\" srcset=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/05\/products-built-using-TensorFlow-01.jpg 1200w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/05\/products-built-using-TensorFlow-01-150x79.jpg 150w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/05\/products-built-using-TensorFlow-01-300x157.jpg 300w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/05\/products-built-using-TensorFlow-01-768x402.jpg 768w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/05\/products-built-using-TensorFlow-01-1024x536.jpg 1024w\" sizes=\"auto, (max-width: 1200px) 100vw, 1200px\" \/><\/a><p id=\"caption-attachment-16940\" class=\"wp-caption-text\">TensorFlow Interview Questions and Answers- Products Built Using TensorFlow<\/p><\/div>\n<p><span style=\"font-weight: 400\">Teachable Machine<\/span><br \/>\n<span style=\"font-weight: 400\">Nsynth<\/span><br \/>\n<span style=\"font-weight: 400\">Handwriting<\/span><br \/>\n<span style=\"font-weight: 400\">Giorgio Camthat<\/span><\/p>\n<p><b>Q23. <\/b><b>What are some advantages of TensorFlow over other libraries?<\/b><\/p>\n<p><span style=\"font-weight: 400\">Debugging facility, scalability, visualization of data, pipelining and many more.\u00a0<\/span><\/p>\n<p><b>Q24. <\/b><b>How can you make sure that overfitting situation is not arriving with a model you are using?<\/b><\/p>\n<p>Users need to make sure that their model is simple and not have any complex statement. <span style=\"font-weight: 400\">Variance takes into the account and the noise eliminates from the model data.<\/span> Techniques like k-fold and LASSO can also help.<\/p>\n<p><b>Q25.<\/b> <b>\u00a0<\/b><b>What exactly do you know about a ROC curve and its working?<\/b><\/p>\n<p><span style=\"font-weight: 400\">ROC or region of convergence used to reflect data rates which classify as true positive and false positive. Represented in the form of graphs, it can use as a proximity to swap operations related to different algorithms.\u00a0<\/span><\/p>\n<p><b>Q26. <\/b><b>In the machine learning context, how useful and reliable Bayes\u2019 theorem is?<\/b><\/p>\n<p><span style=\"font-weight: 400\">Baye\u2019s theorem is useful for determining the probability of an event, obtained by dividing the actual positive rate by the false positive rate. Some of the very complex questions and challenges can solve using a simple approach and eliminated with the help of this theorem. <\/span><\/p>\n<p><b>Q27. <\/b><b>What difference do you find in Type I and Type II errors?<\/b><\/p>\n<p><span style=\"font-weight: 400\">Type I error means a false positive value while Type II error means a false negative. <\/span><\/p>\n<p><b>Q28. <\/b><b>What would be your strategy to handle a situation indicating an imbalanced dataset?<\/b><\/p>\n<p><span style=\"font-weight: 400\">This usually occurs when a vast set of data keep in a single class. Sampling the dataset again is one of the possible solutions and the other one being the migration of data to parallel classes. The dataset should not be damaged.\u00a0<\/span><\/p>\n<p><b>Q29. <\/b><b>What do you know about supervised and unsupervised machine learning?<\/b><\/p>\n<p><span style=\"font-weight: 400\">Supervised learning consists of labelled data which is not necessarily present in unsupervised learning. <\/span><\/p>\n<p><b>Q30. <\/b><b>In machine learning based on TensorFlow, what is more important among the performance or the accuracy of a model?<\/b><\/p>\n<p><span style=\"font-weight: 400\">It depends on the overall experience. Both of them have an equal weightage although accuracy is most important in most of the models.<\/span><\/p>\n<p><strong>TensorFlow Interview Questions and Answers for Freshers- 21,22,23,26,27,29<\/strong><\/p>\n<p><strong>TensorFlow Interview Questions and Answers for Experience. Q- 24,25,28,30<\/strong><\/p>\n<p>So, this was all about most popular TensorFlow Interview Questions and Answers. Hope you like our explanation.<\/p>\n<h2>Conclusion<\/h2>\n<p>Hence, we saw the top 30 essential Interview Questions with Answers. Thus, we hope that these mostly asked TensorFlow Interview Questions will help you to prepare yourself for the upcoming TensorFlow Interview. In our next article, we will discuss the<strong> part 2 of TensorFlow interview questions<\/strong>.<\/p>\n<p>Still, if you have any query regarding TensorFlow Interview Questions and Answers, feel free to ask through the comment section.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>We saw a comprehensive understanding of what is Tensorflow, its procedures, how to create programs and different operations associated with it. Now we will cover some of the important and most frequently asked Tensorflow&#46;&#46;&#46;<\/p>\n","protected":false},"author":6,"featured_media":16935,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[73],"tags":[383,4643,8906,14933,15507,15540,16013],"class_list":["post-16921","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-tensorflow","tag-advantages-of-tensorflow","tag-features-of-tensorflow","tag-mostly-asked-tensorflow-interview-questions","tag-tricky-tensorflow-interview-questions-and-answers","tag-what-are-tensors","tag-what-is-a-tensorboard","tag-what-is-tensorflow"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.8 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Top 30 TensorFlow Interview Questions &amp; Answers - DataFlair<\/title>\n<meta name=\"description\" content=\"Best TensorFlow interview questions-interview questions for TensorFlow, crack TensorFlow Interview, TensorFlow Developer,TensorFlow Job Preparation\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/data-flair.training\/blogs\/tensorflow-interview-questions\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Top 30 TensorFlow Interview Questions &amp; 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