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Deep Learning with PyTorch
- Build, Train, and Tune Neural Networks Using Python Tools
- Narrated by: Mark Thomas
- Length: 15 hrs and 26 mins
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Publisher's summary
There are countless ways to put deep learning to good use: improved medical imaging, credit card fraud detection, long range weather forecasting. PyTorch puts these superpowers in your hands, providing a comfortable Python experience that gets you started quickly and then grows with you as you - and your deep-learning skills - become more sophisticated.
This book will make that journey engaging and fun.
About the technology
Although many deep learning tools use Python, the PyTorch library is truly Pythonic. Instantly familiar to anyone who knows PyData tools like NumPy and scikit-learn, PyTorch simplifies deep learning without sacrificing advanced features. It's excellent for building quick models, and it scales smoothly from laptop to enterprise. Because companies like Apple, Facebook, and JPMorgan Chase rely on PyTorch, it's a great skill to have as you expand your career options.
About the book
Deep Learning with PyTorch teaches you to create neural networks and deep learning systems with PyTorch. This practical book quickly gets you to work building a real-world example from scratch: a tumor image classifier. Along the way, it covers best practices for the entire DL pipeline, including the PyTorch Tensor API, loading data in Python, monitoring training, and visualizing results.
After covering the basics, the book will take you on a journey through larger projects.
What's inside
- Training deep neural networks
- Implementing modules and loss functions
- Utilizing pretrained models from PyTorch Hub
- Exploring code samples in Jupyter Notebooks
About the audience
For Python programmers with an interest in machine learning
About the authors
Eli Stevens had roles from software engineer to CTO and is currently working on machine learning in the self-driving-car industry. Luca Antiga is cofounder of an AI engineering company as well as a former PyTorch contributor. Thomas Viehmann is a PyTorch core developer and machine learning trainer and consultant.
PLEASE NOTE: When you purchase this title, the accompanying PDF will be available in your Audible Library along with the audio.
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On May 31, 2014, in the Milwaukee suburb of Waukesha, Wisconsin, two 12-year-old girls attempted to stab their classmate to death. Morgan Geyser and Anissa Weier’s violence was extreme, but what seemed even more frightening was that they committed their crime under the influence of a figure born by the internet: the so-called “Slenderman”. Yet the even more urgent aspect of the story, that the children involved suffered from undiagnosed mental illnesses, often went overlooked in coverage of the case.
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The Box
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In April 1956, a refitted oil tanker carried 58 shipping containers from Newark to Houston. From that modest beginning, container shipping developed into a huge industry that made the boom in global trade possible. The Box tells the dramatic story of the container's creation, the decade of struggle before it was widely adopted, and the sweeping economic consequences of the sharp fall in transportation costs that containerization brought about.
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Fascinating Topic sometimes lost in minutiae
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Recoding History: Audacious Women Who Shaped Our Digital World
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Recoding History: The Audacious Women Who Shaped Our Digital World is an immersive look into the lives of some of computer history's most ingenious and audacious women. Pulling from the Computer History Museum’s archives and hosted by Reshma Saujani, the founder of Girls Who Code, listeners will learn and laugh along with these great minds as they recount their stories in their own words.
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Breaking the Glass Ceiling
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Super Pumped
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Performance
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Story
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A forced narrative and a bad version of Bad Blood
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Hackers: Heroes of the Computer Revolution
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Remember Why You Got Into Computing
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Technical knowledge alone isn't enough - increase your software development income by leveling up your soft skills Early in his software developer career, John Sonmez discovered that technical knowledge alone isn't enough to break through to the next income level - developers need "soft skills" like the ability to learn new technologies just in time, communicate clearly with management and consulting clients, negotiate a fair hourly rate, and unite teammates and coworkers in working toward a common goal.
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The Complete Bro-grammer's Career Guide
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Learn social media marketing in plain English—step by step! Buy the workbook used at Stanford Continuing Studies to teach social media marketing for business. The 2023 updated edition—all info verified and a new chapter on TikTok, plus revisions on LinkedIn, Facebook, and other major platforms....
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Great SM Reference
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Artificial intelligence does the seemingly impossible - driving cars, trading stocks, and teaching children. But facing the sea change that AI will bring can be paralyzing. How should companies set strategies, governments design policies, and people plan their lives for a world so different from what we know? In Prediction Machines, three eminent economists recast the rise of AI as a drop in the cost of prediction. With this single, masterful stroke, they lift the curtain on the AI-is-magic hype and show how basic tools from economics provide clarity about the AI revolution and a basis for action by CEOs, managers, policy makers, investors, and entrepreneurs.
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Not sure what I was expecting, but underwhelmed
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Algorithms of Oppression
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Run a Google search for “black girls” - what will you find? “Big Booty” and other sexually explicit terms are likely to come up as top search terms. But, if you type in “white girls”, the results are radically different. The suggested porn sites and un-moderated discussions about “why black women are so sassy” or “why black women are so angry” presents a disturbing portrait of black womanhood in modern society. In Algorithms of Oppression, Safiya Umoja Noble challenges the idea that search engines like Google offer an equal playing field for all forms of ideas, identities, and activities.
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Read this book. Tell everyone you know about it.
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The Book of Satoshi
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The Book of Satoshi, the collected writings of Satoshi Nakamoto, creator of the bitcoin. The foreword was written by Jeff Berwick.
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Great historic read that'll teach the blockchain
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Even before the COVID-19 pandemic, digital technologies had become deeply embedded in children’s lives, despite a growing body of research detailing the harms of excessive immersion in the unregulated, powerfully seductive, profit-driven world of the “kid-tech” industry. In Who’s Raising the Kids? Linn—one of the world’s leading experts on the impact of Big Tech and big business on children—explores the roots and consequences of this monumental shift toward a digitized, commercialized childhood, focusing on kids’ values, relationships, and learning.
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Great advice on practical steps
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By: Susan Linn
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- Actionwatcher
- 08-15-23
Absolutely not suitable for audio
Audio version is not suitable for textbooks like this. The printed version of the book heavily relies on pictures, and code, which completely omitted in the audio version.
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