Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
TENSOR CALCULUS for Deep Learning: A Practical Guide to Multidimensional Mathematics, Optimization, and Neural Networks

TENSOR CALCULUS for Deep Learning: A Practical Guide to Multidimensional Mathematics, Optimization, and Neural Networks

Hossain, Mir

Paperback

General ComputersTest Prep

Currently unavailable to order

ISBN13: 9798196416347
Publisher: Independently Published
Pages: 248
Weight: 0.96
Height: 0.52 Width: 7.00 Depth: 10.00
Language: English
Master the mathematics behind modern AI without getting lost in theory.

Most deep learning books either skip the math or bury you in abstract theory. Tensor Calculus for Deep Learning bridges that gap, giving you exactly the mathematical tools you need to understand, build, and debug real machine learning models.

Whether you're a student, engineer, or self-taught practitioner, this book takes you from core linear algebra and multivariable calculus to the tensor operations that power neural networks step by step, with clarity and purpose.

You will learn how gradients flow through networks, how backpropagation really works, and how optimization algorithms shape model performance, all through the lens of tensor calculus.

What you will learn:

How vectors, matrices, and tensors connect in deep learning

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