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Generative AI
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Generative AI Publication is dedicated to providing in-depth coverage of the latest developments, research, and applications of generative AI.
They believe that this technology has the potential to transform industries and improve our daily lives, and we want to share that with the world.
TensorFlow (REVIEW) does computation using data flow graphs. Google uses TensorFlow internally in its datacenters and comercially with Pixel. TensorFlow-based neural networks translate, map, and includes Google APIs for Natural Language, Speech, Vision, and FREE Graphics Editor
The Microsoft Cognitive Toolkit (CNTK) (MS FAQs) is a unified deep learning toolkit that describes neural networks as a series of computational steps via a directed graph. Version, CNTK v.2.7 (2023) can now be used as a library with new C++ and Python APIs. It retains its use of BrainScript as its own language for configuring models. Its FREE video editor supports a wide range of formats.
MXNet (REVIEW) mixes symbolic programming (declaration of the computation graph) and imperative programming (straight tensor operations) to maximize both efficiency and productivity. It is now developed by collaborators from multiple universities and many companies, including the likes of Amazon, Baidu, Intel, Microsoft, Nvidia, and Wolfram.
Python is a high-level, object-oriented, interpreted programming language, which has garnered worldwide attention. Stack Overflow found out that 38.8% of its users mainly use Python for their projects. It has become one of the most sought-after programming certifications. It is used in Artificial Intelligence, Desktop Application,
Automation, Web Development, and Data Wrangling, Exploration and Visualization.
The best place to start learning Python is at EDUREKA
This IBM EdX course provides a brief introduction to Python using Jupyter Notebooks, Pandas, and Numpy.
This IBM EdX course expands the introductory Python course with SciPy, MatPlotLib, Seaborn, SciKit, and StatsModel
