COMPUTER SCIENCE AND ENGINEERING
MACHINE LEARNING
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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TensorFlow
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NumPy
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Pyplot
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Pip
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Detailed explanation-1: -Tensor2Tensor is a library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research. A Python library that includes implementations of TensorFlow optimizers for training machine learning models with differential privacy.
Detailed explanation-2: -High-level work in TensorFlow-creating nodes and layers and linking them together-uses the Keras library. The Keras API is outwardly simple; a basic model with three layers can be defined in less than 10 lines of code, and the training code for the same takes just a few more lines of code.
Detailed explanation-3: -NumPy is regarded as being one of the most widely used and best Python libraries for Machine Learning. Other libraries, such as TensorFlow and Keras, use NumPy to implement various operations on tensors.
Detailed explanation-4: -TensorFlow is an end-to-end open source platform for machine learning. TensorFlow is a rich system for managing all aspects of a machine learning system; however, this class focuses on using a particular TensorFlow API to develop and train machine learning models.
Detailed explanation-5: -For Web. Use TensorFlow.js to create new machine learning models and deploy existing models with JavaScript.