TensorFlow applications can run in almost any environment , including iOS and Android devices, local machines, or a cloud cluster, as well as on CPUs or GPUs (or Google's custom TPUs if using Google Cloud). TensorFlow includes sets of high- and low-level APIs. Google recommends the high-level APIs to simplify data pipeline development and application programming, while the low-level APIs (TensorFlow Core) are useful for application debugging and experimentation. Complete instructions and tutorials are available on the official website .
One of the advantages of TensorFlow is its abstraction capabilities , which allow developers to focus on the overall logic of the application, leaving the framework to take care of the details. In addition, it provides self-analysis and debugging tools for TensorFlow application developers.
The Tensor Board visualization suite features an interactive web-based dashboard that allows you to verify and profile how your graphs are running . There is also an ' eager ' execution mode to evaluate and modify each operation of the graph separately and transparently, rather than creating the entire graph as a single opaque object and evaluating it as a whole.
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TensorFlow is primarily used to build and train neural networks, which can then be used for tasks such as image classification, natural language understanding and generation, and speech recognition. For this reason, the capabilities offered by TensorFlow are essential for data scientists, machine learning engineers , and AI researchers , as well as statisticians and predictive model developers.
These experts use it for data analysis, developing machine learning algorithms, and researching artificial intelligence. Even software developers with a focus on AI and machine learning adopt it to innovate in the IT and digital technologies sector. The TensorFlow framework is widely used by companies of various types and sizes to automate processes and develop new systems. It is very useful for large-scale parallel processing applications, and has been used in experiments and testing of autonomous vehicles.
In the business field, there are many applications : from powering personalized recommendation systems to predictive analysis to identify market trends and consumer behavior. It is also used in the development of artificial vision solutions and in the optimization of chatbots and automated customer service systems.
TensorFlow examples in machine learning
Google, TensorFlow's parent company, also uses the framework for internal operational activities, such as enhancing the information retrieval capabilities of its search engine and powering applications for automatic email response generation, image classification, and optical character recognition.
According to the TensorFlow website, besides Google, which uses it to optimize all of its services, there are other large companies that use this framework . Among them, there are Airbnb, Coca-Cola, eBay, Intel, Qualcomm, SAP, Twitter (now X), Uber, Snap Inc. (developer of Snapchat) and the sports consulting company STATS LLC.