000			01443nam a22001937a 4500
999			_c64856 _d64856
008			200430b2019 ||||| |||| 00| 0 eng d
020			_a9789352139026
082			_a006.32 WEI-S
100			_aWeidman, Seth
245			_aDeep learning from scratch : building with Python from first principles / _cSeth Weidman
260			_aIndia _bO'Reilly / SPD _c2019
300			_a235 p.
365			_aINR _b925.00
500			_aWith the resurgence of neural networks in the 2010s, deep learning has become essential for machine learning practitioners and even many software engineers. This book provides a comprehensive introduction for data scientists and software engineers with machine learning experience. You’ll start with deep learning basics and move quickly to the details of important advanced architectures, implementing everything from scratch along the way. Author Seth Weidman shows you how neural networks work using a first principles approach. You’ll learn how to apply multilayer neural networks, convolutional neural networks, and recurrent neural networks from the ground up. With a thorough understanding of how neural networks work mathematically, computationally, and conceptually, you’ll be set up for success on all future deep learning projects.
650			_aMachine learning
650			_aNeural networks (Computer science)
650			_aPython (Computer program language)
650			_aArtificial intelligence