Written by students who passed Immediately available after payment Read online or as PDF Wrong document? Swap it for free 4.6 TrustPilot
logo-home
Class notes

Deep Learning from Scratch: Building Neural Networks with Python

Rating
-
Sold
-
Pages
253
Uploaded on
10-08-2025
Written in
2019/2020

This document is based on Seth Weidman's book Deep Learning from Scratch, which offers a hands-on, intuitive approach to understanding and implementing deep learning algorithms without relying on high-level libraries like TensorFlow or Keras. It walks readers through the mathematical foundations of neural networks and guides them in building models from the ground up using only Python and NumPy. Key topics covered include: The theory behind neural networks and deep learning Forward and backward propagation Gradient descent and optimization Building multilayer perceptrons (MLPs) from scratch Understanding loss functions and activation functions Training models on real datasets This resource is ideal for learners who want to deeply understand how deep learning works under the hood, and for educators looking to teach the fundamentals in a transparent, code-first way.

Show more Read less
Institution
Course

Content preview

Deep Learning
from Scratch
Building with Python from First Principles




Seth Weidman

,
, Deep Learning from Scratch
Building with Python from First Principles




Seth Weidman




Beijing Boston Farnham Sebastopol Tokyo

, Deep Learning from Scratch
by Seth Weidman
Copyright © 2019 Seth Weidman. All rights reserved.
Printed in the United States of America.
Published by O’Reilly Media, Inc., 1005 Gravenstein Highway North, Sebastopol, CA 95472.
O’Reilly books may be purchased for educational, business, or sales promotional use. Online editions are
also available for most titles (http://oreilly.com). For more information, contact our corporate/institutional
sales department: 800-998-9938 or .

Development Editor: Melissa Potter Indexer: Judith McConville
Acquisitions Editors: Jon Hassell and Mike Loukides Interior Designer: David Futato
Production Editor: Katherine Tozer Cover Designer: Karen Montgomery
Copyeditor: Arthur Johnson Illustrator: Rebecca Demarest
Proofreader: Rachel Monaghan

September 2019: First Edition

Revision History for the First Edition
2019-09-06: First Release

See http://oreilly.com/catalog/errata.csp?isbn=9781492041412 for release details.

The O’Reilly logo is a registered trademark of O’Reilly Media, Inc. Deep Learning from Scratch, the cover
image, and related trade dress are trademarks of O’Reilly Media, Inc.
The views expressed in this work are those of the author, and do not represent the publisher’s views.
While the publisher and the author have used good faith efforts to ensure that the information and
instructions contained in this work are accurate, the publisher and the author disclaim all responsibility
for errors or omissions, including without limitation responsibility for damages resulting from the use of
or reliance on this work. Use of the information and instructions contained in this work is at your own
risk. If any code samples or other technology this work contains or describes is subject to open source
licenses or the intellectual property rights of others, it is your responsibility to ensure that your use
thereof complies with such licenses and/or rights.




978-1-492-04141-2
[LSI]

Connected book

Written for

Course

Document information

Uploaded on
August 10, 2025
Number of pages
253
Written in
2019/2020
Type
Class notes
Professor(s)
Seth weidm
Contains
All classes

Subjects

$50.99
Get access to the full document:

Wrong document? Swap it for free Within 14 days of purchase and before downloading, you can choose a different document. You can simply spend the amount again.
Written by students who passed
Immediately available after payment
Read online or as PDF

Get to know the seller
Seller avatar
emmanuelkiriinya

Get to know the seller

Seller avatar
emmanuelkiriinya WorldQuant University
Follow You need to be logged in order to follow users or courses
Sold
-
Member since
8 months
Number of followers
0
Documents
2
Last sold
-

0.0

0 reviews

5
0
4
0
3
0
2
0
1
0

Recently viewed by you

Why students choose Stuvia

Created by fellow students, verified by reviews

Quality you can trust: written by students who passed their tests and reviewed by others who've used these notes.

Didn't get what you expected? Choose another document

No worries! You can instantly pick a different document that better fits what you're looking for.

Pay as you like, start learning right away

No subscription, no commitments. Pay the way you're used to via credit card and download your PDF document instantly.

Student with book image

“Bought, downloaded, and aced it. It really can be that simple.”

Alisha Student

Working on your references?

Create accurate citations in APA, MLA and Harvard with our free citation generator.

Working on your references?

Frequently asked questions