From the course: TensorFlow: Practical Skills in Constructing, Training, and Optimizing Models
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TensorFlow vs. other frameworks - TensorFlow Tutorial
From the course: TensorFlow: Practical Skills in Constructing, Training, and Optimizing Models
TensorFlow vs. other frameworks
- [Instructor] Every data science task calls for the appropriate tool. Is TensorFlow the right tool for you? In this lesson, I'll explain common use cases for TensorFlow and talk about when you would want to go with TensorFlow over other frameworks. TensorFlow is first and foremost a tool for designing and implementing machine learning models, especially sophisticated networks that can be used for processing large datasets, images, or natural language. It is not itself a language, and so, it's not a competitor to language environments like Python or JavaScript. On the contrary, if you are already comfortable with a language like Python, TensorFlow can be integrated quite seamlessly into your workflow. If you've been working in Python already, you may be familiar with libraries like pandas, matplotlib, and scikit-learn. These are all great data science tools, but if you're interested in building neural network models, you're going to want to check out TensorFlow. Another Python tool…
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