Deep Learning using TensorFlow

IBM Deep Learning using TensorFlow is a program that equips participants with the ability to apply TensorFlow for deep learning tasks. Here are the key components covered in this program: Foundational TensorFlow Concepts: Participants learn essential TensorFlow concepts, including main functions, operations, and execution pipelines. They understand how TensorFlow can be used for tasks such […]

CS205 : Building with A.I.

The 48-hour course syllabus comprises of 10 units that collectively encompass a range of AI relevant methods and technologies including but not limited to Machine Learning, NLPs, NLG, PL, NNs, Learning Agents, Regression Models, algorithms, Sentiment Analysis and other hues of AI. The training and exam covered a wide gamut of real-world AI acquisition, from […]
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