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Deep Learning Quick Re... by Bernico, Michael Digital (delivered electronically )
FREE US DELIVERY | ISBN: 1788837991 | Quality Books
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A book that has been read and does not look new, but is in excellent condition. No obvious damage to the book cover, with the dust jacket (if applicable) included for hard covers. No missing or damaged pages, no creases or tears, no underlining or highlighting of text, and no writing in the margins. Some identifying marks on the inside cover, but this is minimal. Very little wear and tear. See the seller’s listing for full details and description of any imperfections.
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Item specifics
- Condition
- ISBN
- 1788837991
- EAN
- 9781788837996
- Date of Publication
- 2023-04-02
- Release Title
- Deep Learning Quick Reference
- Artist
- Bernico, Michael
- Brand
- N/A
- Colour
- N/A
- Book Title
- Deep Learning Quick Reference
About this product
Product Identifiers
Publisher
Packt Publishing, The Limited
ISBN-10
1788837991
ISBN-13
9781788837996
eBay Product ID (ePID)
3038498970
Product Key Features
Number of Pages
272 Pages
Publication Name
Deep Learning Quick Reference : Useful Hacks for Training and Optimizing Deep Neural Networks with TensorFlow and Keras
Language
English
Publication Year
2018
Subject
Machine Theory, Intelligence (Ai) & Semantics, Neural Networks, Data Processing
Type
Textbook
Subject Area
Computers
Format
Trade Paperback
Dimensions
Item Length
3.6 in
Item Width
3 in
Additional Product Features
Intended Audience
Trade
Table Of Content
Table of Contents The Building Blocks of Deep Learning Using Deep Learning To Solve Regression Problems Monitoring Network Training Using Tensor Board Using Deep Learning To Solve Binary Classification Problems Using Keras To Solve MultiClass Classification Problems HyperParameter Optimization Training a CNN From Scratch Transfer Learning with Pretrained CNNs Training an RNN from scratch Training LSTMs with Word Embeddings From Scratch Training Seq2Seq Models Using Deep Reinforcement Learning Deep Convolutional Generative Adversarial Networks
Synopsis
Dive deeper into neural networks and get your models trained, optimized with this quick reference guide Key Features A quick reference to all important deep learning concepts and their implementations Essential tips, tricks, and hacks to train a variety of deep learning models such as CNNs, RNNs, LSTMs, and more Supplemented with essential mathematics and theory, every chapter provides best practices and safe choices for training and fine-tuning your models in Keras and Tensorflow. Book Description Deep learning has become an essential necessity to enter the world of artificial intelligence. With this book deep learning techniques will become more accessible, practical, and relevant to practicing data scientists. It moves deep learning from academia to the real world through practical examples. You will learn how Tensor Board is used to monitor the training of deep neural networks and solve binary classification problems using deep learning. Readers will then learn to optimize hyperparameters in their deep learning models. The book then takes the readers through the practical implementation of training CNN's, RNN's, and LSTM's with word embeddings and seq2seq models from scratch. Later the book explores advanced topics such as Deep Q Network to solve an autonomous agent problem and how to use two adversarial networks to generate artificial images that appear real. For implementation purposes, we look at popular Python-based deep learning frameworks such as Keras and Tensorflow, Each chapter provides best practices and safe choices to help readers make the right decision while training deep neural networks. By the end of this book, you will be able to solve real-world problems quickly with deep neural networks. What you will learn Solve regression and classification challenges with TensorFlow and Keras Learn to use Tensor Board for monitoring neural networks and its training Optimize hyperparameters and safe choices/best practices Build CNN's, RNN's, and LSTM's and using word embedding from scratch Build and train seq2seq models for machine translation and chat applications. Understanding Deep Q networks and how to use one to solve an autonomous agent problem. Explore Deep Q Network and address autonomous agent challenges. Who this book is for If you are a Data Scientist or a Machine Learning expert, then this book is a very useful read in training your advanced machine learning and deep learning models. You can also refer this book if you are stuck in-between the neural network modeling and need immediate assistance in getting accomplishing the task smoothly. Some prior knowledge of Python and tight hold on the basics of machine learning is required., Dive deeper into neural networks and get your models trained, optimized with this quick reference guideAbout This Book* A quick reference to all important deep learning concepts and their implementations* Essential tips, tricks, and hacks to train a variety of deep learning models such as CNNs, RNNs, LSTMs, and more* Supplemented with essential mathematics and theory, every chapter provides best practices and safe choices for training and fine-tuning your models in Keras and Tensorflow.Who This Book Is ForIf you are a Data Scientist or a Machine Learning expert, then this book is a very useful read in training your advanced machine learning and deep learning models. You can also refer this book if you are stuck in-between the neural network modeling and need immediate assistance in getting accomplishing the task smoothly. Some prior knowledge of Python and tight hold on the basics of machine learning is required.What You Will Learn* Solve regression and classification challenges with TensorFlow and Keras* Learn to use Tensor Board for monitoring neural networks and its training* Optimize hyperparameters and safe choices/best practices* Build CNN's, RNN's, and LSTM's and using word embedding from scratch* Build and train seq2seq models for machine translation and chat applications.* Understanding Deep Q networks and how to use one to solve an autonomous agent problem.* Explore Deep Q Network and address autonomous agent challenges.In DetailDeep learning has become an essential necessity to enter the world of artificial intelligence. With this book deep learning techniques will become more accessible, practical, and relevant to practicing data scientists. It moves deep learning from academia to the real world through practical examples.You will learn how Tensor Board is used to monitor the training of deep neural networks and solve binary classification problems using deep learning. Readers will then learn to optimize hyperparameters in their deep learning models. The book then takes the readers through the practical implementation of training CNN's, RNN's, and LSTM's with word embeddings and seq2seq models from scratch. Later the book explores advanced topics such as Deep Q Network to solve an autonomous agent problem and how to use two adversarial networks to generate artificial images that appear real. For implementation purposes, we look at popular Python-based deep learning frameworks such as Keras and Tensorflow, Each chapter provides best practices and safe choices to help readers make the right decision while training deep neural networks.By the end of this book, you will be able to solve real-world problems quickly with deep neural networks.Style and approachAn easy-to-follow, step-by-step guide to help you get to grips with real-world applications of training deep neural networks., This book is a practical guide to applying deep neural networks including MLPs, CNNs, LSTMs, and more in Keras and TensorFlow. Packed with useful hacks to solve real-world challenges along with the supported math and theory around each topic, this book will be a quick reference for training and optimize your deep neural networks.
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- n***d (49)- Feedback left by buyer.Past 6 monthsVerified purchaseExcellent seller. Package was delayed ( by bad weather) and then misplaced at PO( placed in wrong box #) but I contacted the seller and they responded quickly and I got my item today. This seller went the extra mile and I would highly recommend them and will shop here again. I also want to say the price for this complete hard to find item was way below most of the other listings. Condition was good as stated, and although I've only watched the first disc it's quality is good. Thank you!!Tenko : Complete BBC Series Box Set [DVD] - DVD EQVG The Cheap Fast Free Post (#306002146201)
- r***d (273)- Feedback left by buyer.Past monthVerified purchaseItem in great condition 😁 SELLER communicated any time I had a question 😍 Good value 😊 packaged securely 🙂 Shipping said 7-14 days which is correct , would purchase again from rhis seller ... Thank You
- 6***t (479)- Feedback left by buyer.Past monthVerified purchasePurchasing form this company can at times be frustrating due to items never arriving, very low shipping time and the inability to track the items. But I gave them another chance and purchased many maps and books over the past few months and have received all of them. Last year, it was hit and miss. All items were in the condition as described. Packaging is minimal. The only downside is extremely slow shipping. I rate them a C+. Nothing to gloat about but eventually you will get what you wanted.
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