Machine learning concepts with Python and the Jupyter Notebook environment : using Tensorflow 2.0 /: using Tensorflow 2.0. ([2020])

• Record Type: Book
• Further Information: Note: Nikita Silaparasetty.
• Authors: Silaparasetty, Nikita
• Contents: Chapter 1: An Overview of Artificial Intelligence -- Chapter 2: An Overview of Machine Learning -- Chapter 3: Introduction to Deep Learning -- Chapter 4: Machine Learning Versus Deep Learning -- Chapter 5: Machine Learning with Python -- Chapter 6: Introduction to Jupyter Notebooks -- Chapter 7: Python Programming on the Jupyter Notebook -- Chapter 8: The Tensorflow Machine Learning Library -- Chapter 9: Programming with Tensorflow 1.0 -- Chapter 10: Introducing TensorFlow 2.0 -- Chapter 11: Machine Learning Programming with TensorFlow 2.0.
• Publisher Details: Berkeley, CA : Apress
• Publication Date: 2020
• Extent: 1 online resource (XXVII, 290 pages), illustrations
• Subjects: 006.31; Machine learning; Python (Computer program language); Information visualization; Artificial intelligence; Computers -- Intelligence (AI) & Semantics; Electronic books
• Languages: English
• ISBNs: 9781484259672
• Related ISBNs: 148425967X; 9781484259665
• Notes: Note: Description based on online resource; title from digital title page (viewed on November 09, 2020).
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.