TensorFlow Interview Questions and Answers | TensorFlow Interview Preparation | Intellipaat
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In this TensorFlow Interview Questions, you will learn everything about TensorFlow interview questions with detailed answers recently asked in top MNCs. If you are preparing for the TensorFlow job then this is a must-watch video for you. In this video, we have covered TensorFlow basic to advance questions so that this video will be helpful to everyone at any stage of learning TensorFlow.
🔥 Following questions are covered in the video:
00:00 - TensorFlow Interview Questions
00:45 - What is TensorFlow
02:41 - What are Tensors
04:29 - What is the meaning of TensorBoard
06:12 - What are some of the advantages of using TensorFlow
08:59 - Are there any limitations of using TensorFlow
10:57 - What are the types of tensors available in TensorFlow
14:59 - How can data be loaded in TensorFlow
16:55 - What is the simple working of an algorithm in TensorFlow
19:00 - Explain false negative, false positive, true negative, true positive with the help of an example
21:31 - What are the languages supported in TensorFlow
22:08 - What are bias and variance?
28:05 - Where is TensorFlow mostly used
30:12 - What makes TensorFlow advantages over other libraries
32:33 - What are the differences between tf.variable and tf.placeholder in TensorFlow
33:38 - How is variable lifetime tracked in TensorFlow
34:44 - What do you understand by Type I and type II errors
36:02 - What are the types of dashboards supported by TensorFlow
38:13 - Differentiate between TensorFlow and PyTorch
39:26 - What is the use of estimators in TensorFlow
40:30 - What is the difference between CNN and RNN
42:25 - What are the methods that can be used to handle overfitting in TensorFlow
46:17 - What are activation functions in tensorflow
48:02 - What are some of the commonly used optimizers when training a model in TensorFlow
48:34 - Explain Principal Component Analysis
51:47 - What is Dimensionality Reduction
53:06 - What is a ROC curve and what does it represent
55:29 - What is the use of ArrayFlow and FeedDictFlow in TensorFlow
56:26 - Parameters to consider when implementing the Word2vec algorithm
58:13 - What are some of the numerical and categorical loss function supported when working with TensorFlow
59:50 - What is an epoch?
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Q. Who should watch this TensorFlow Video?
Professionals who are passionate about TensorFlow, Deep Learning, AI, and who are preparing for AI Interviews, and also who wants to go ahead and make their career as an AI Engineer.
Q. Why Artificial Intelligence is important?
Artificial Intelligence is taking over each and every industry domain. Machine Learning and especially Deep Learning are the most important aspects of Artificial Intelligence that are being deployed everywhere from search engines to online movie recommendations. Taking the Intellipaat deep learning training & Artificial Intelligence Course can help professionals to build a solid career in a rising technology domain and get the best jobs in top organizations.
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