Machine learning with PyTorch and scikit learn: develop machine learning and deep learning models with python / Sebastian Raschka, Yuxi Liu and Vahid Mirjalili

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TextPublication details: Mumbai : Packt, 2022.Description: xxviii, 741pISBN:

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Holdings
Item type	Current library	Home library	Call number	Status	Date due	Barcode
Book	Dept. of Computer Science	Dept. of Computer Science	006.31 RAS.M (Browse shelf(Opens below))	Checked out to Ruhollah (DCSRSFT06)	28/12/2024	DCS4985

Previous			No cover image available No cover image available					Next
Previous	006.31 NOR Machine learning with the Raspberry Pi experiments with data and computer vision	006.31 PAJ Hands-on Machine Learning with Python Implement Neural Network Solutions with Scikit-learn and PyTorch	006.31 PHO Soft computing in machine learning	006.31 RAS.M Machine learning with PyTorch and scikit learn: develop machine learning and deep learning models with python /	006.31 RYZ Machine intelligence and big data in industry.	006.31 SAN Deep reinforcement learning with Python , with PyTorch, TensorFlow and OpenAI Gym	006.31 SIL Deep learning projects using TensorFlow 2 neural network development with Python and Keras	Next

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