Math for Deep Learning: A Practitioner's Guide to Mastering Neural Networks

✍ Scribed by Ronald T. Kneusel

Publisher: No Starch Press
Year: 2021
Tongue: English
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

Math for Deep Learning provides the essential math you need to understand deep learning discussions, explore more complex implementations, and better use the deep learning toolkits.

With Math for Deep Learning , you'll learn the essential mathematics used by and as a background for deep learning.

You’ll work through Python examples to learn key deep learning related topics in probability, statistics, linear algebra, differential calculus, and matrix calculus as well as how to implement data flow in a neural network, backpropagation, and gradient descent. You’ll also use Python to work through the mathematics that underlies those algorithms and even build a fully-functional neural network.

In addition you’ll find coverage of gradient descent including variations commonly used by the deep learning community: SGD, Adam, RMSprop, and Adagrad/Adadelta.

✦ Subjects

Computers, Data Science, Machine Learning, Mathematics, Calculus, Neural Networks

📜 SIMILAR VOLUMES

Mastering Neural Networks: A Comprehensi

📁 Mastering Neural Networks: A Comprehensive Guide to Learn Neural Networks

✍ Hermans, Kris; Ltd, Cybellium 📂 Library 📅 2023 🏛 Cybellium 🌐 English

Unleash the Power of Deep Learning for Intelligent Systems In the realm of artificial intelligence and machine learning, neural networks stand as the driving force behind intelligent systems that mimic human cognition. "Mastering Neural Networks" is your ultimate guide to comprehending and harnes

Math for Deep Learning: What You Need to

📁 Math for Deep Learning: What You Need to Know to Understand Neural Networks

✍ Ronald T. Kneusel 📂 Library 📅 2021 🏛 No Starch Press 🌐 English

Math for Deep Learning provides the essential math you need to understand deep learning discussions, explore more complex implementations, and better use the deep learning toolkits. With Math for Deep Learning, you'll learn the essential mathematics used by and as a backgroun

Math for Deep Learning: What You Need to

📁 Math for Deep Learning: What You Need to Know to Understand Neural Networks

✍ Ronald T. Kneusel 📂 Library 📅 2021 🏛 No Starch Press 🌐 English

Math for Deep Learning provides the essential math you need to understand deep learning discussions, explore more complex implementations, and better use the deep learning toolkits. With Math for Deep Learning, you'll learn the essential mathematics used by and as a background for deep learning.

Math for Deep Learning: What You Need to

📁 Math for Deep Learning: What You Need to Know to Understand Neural Networks

✍ Ronald T. Kneusel 📂 Library 📅 2021 🏛 No Starch Press 🌐 English

Deep Learning and Artificial Intelligenc

📁 Deep Learning and Artificial Intelligence: A Beginners' Guide to Neural Networks and Deep Learning

✍ John Slavio 📂 Library 📅 2018 🏛 Abhishek Kumar 🌐 English

Mastering Deep Learning: A Comprehensive

📁 Mastering Deep Learning: A Comprehensive Guide to Master Deep Learning

✍ Cybellium 📂 Library 📅 2024 🏛 Cybellium 🌐 English

In the landscape of artificial intelligence and machine learning, deep learning stands as a revolutionary force that is shaping the future of technology. "Mastering Deep Learning" is your ultimate guide to comprehending and harnessing the potential of deep neural networks, empowering you to create i