Hands-On Deep Learning with TensorFlow: Uncover what is underneath your data!, (Paperback)
MUR 2830
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With the efficiency and simplicity of TensorFlow, you will be able to process your data and gain insights that will change how you look at data.
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Product Details
- This book is your guide to exploring the possibilities in the field of deep learning, making use of Google's TensorFlow. You will learn about convolutional neural networks, and logistic regression while training models for deep learning to gain key insights into your data.Key Features: - Explore various possibilities with deep learning and gain amazing insights from data using Google's brainchild-- TensorFlow- Want to learn what more can be done with deep learning? Explore various neural networks with the help of this comprehensive guide- Rich in concepts, advanced guide on deep learning that will give you background to innovate in your environmentBook Description: Dan Van Boxel's Deep Learning with TensorFlow is based on Dan's best-selling TensorFlow video course. With deep learning going mainstream, making sense of data and getting accurate results using deep networks is possible. Dan Van Boxel will be your guide to exploring the possibilities with deep learning; he will enable you to understand data like never before. With the efficiency and simplicity of TensorFlow, you will be able to process your data and gain insights that will change how you look at data.With Dan's guidance, you will dig deeper into the hidden layers of abstraction using raw data. Dan then shows you various complex algorithms for deep learning and various examples that use these deep neural networks. You will also learn how to train your machine to craft new features to make sense of deeper layers of data.In this book, Dan shares his knowledge across topics such as logistic regression, convolutional neural networks, recurrent neural networks, training deep networks, and high level interfaces. With the help of novel practical examples, you will become an ace at advanced multilayer networks, image recognition, and beyond.What You Will Learn: - Set up your computing environment and install TensorFlow- Build simple TensorFlow graphs for everyday computations- Apply logistic regression for classification with TensorFlow- Design and train a multilayer neural network with TensorFlow- Intuitively understand convolutional neural networks for image recognition- Bootstrap a neural network from simple to more accurate models- See how to use TensorFlow with other types of networks- Program networks with SciKit-Flow, a high-level interface to TensorFlowWho this book is for: If you are a data scientist who performs machine learning on a regular basis, are familiar with deep neural networks, and now want to gain expertise in working with convoluted neural networks, then this book is for you. Some familiarity with C++ or Python is assumed.Table of Contents- Getting Started- Deep Neural Networks- Convolutional Neural Networks- Recurrent Neural Networks- Wrapping Up
| Publication date | July, 2017 |
| Author | Packt Publishing |
| Book format | Paperback |
| Genre | Computing & Internet |
| Pages | 174 |
| Age group | Adult |
| Series title | No Series |
| Fiction/nonfiction | Non-Fiction |
| Publisher | Packt Publishing |
| Subgenre | Data Science |
| Original languages | English |
| Recording time | 0 min |
| Is collectible | N |
| Bisac subject heading | Computers |
| Edition | 1 |
| Language | English |
| Item Weight | 1 lbs (450 grams) |
Product Description
Hands-On Deep Learning with TensorFlow: Uncover what is underneath your data!, (Paperback)
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MUR 2830
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Features & Benefits
- Unlock the power of deep learning with Google's TensorFlow.
- Explore various neural networks to uncover insights from your data.
- Learn practical applications of logistic regression and convolutional networks.
- Designed for data scientists looking to enhance their machine learning expertise.
- Includes step-by-step guidance on building and training neural networks.
- Transform your understanding of data through advanced multilayer network techniques.
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