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Deep Learning By Example

You're reading from   Deep Learning By Example A hands-on guide to implementing advanced machine learning algorithms and neural networks

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Product type Paperback
Published in Feb 2018
Publisher Packt
ISBN-13 9781788399906
Length 450 pages
Edition 1st Edition
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Author (1):
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Ahmed Menshawy Ahmed Menshawy
Author Profile Icon Ahmed Menshawy
Ahmed Menshawy
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Table of Contents (18) Chapters Close

Preface 1. Data Science - A Birds' Eye View FREE CHAPTER 2. Data Modeling in Action - The Titanic Example 3. Feature Engineering and Model Complexity – The Titanic Example Revisited 4. Get Up and Running with TensorFlow 5. TensorFlow in Action - Some Basic Examples 6. Deep Feed-forward Neural Networks - Implementing Digit Classification 7. Introduction to Convolutional Neural Networks 8. Object Detection – CIFAR-10 Example 9. Object Detection – Transfer Learning with CNNs 10. Recurrent-Type Neural Networks - Language Modeling 11. Representation Learning - Implementing Word Embeddings 12. Neural Sentiment Analysis 13. Autoencoders – Feature Extraction and Denoising 14. Generative Adversarial Networks 15. Face Generation and Handling Missing Labels 16. Implementing Fish Recognition 17. Other Books You May Enjoy

Titanic example – model building and training

The sinking of the ship, Titanic, is one of the most infamous events in history. This incident led to the deaths of 1,502 passengers and crew out of 2,224. In this problem, we will use data science to predict whether the passenger will survive this tragedy or not and then test the performance of our model based on the actual statistics of the tragedy.

To follow up with the Titanic example, you need to do the following:

  1. Download this repository in a ZIP file by clicking on https://github.com/ahmed-menshawy/ML_Titanic/archive/master.zip or execute from the terminal:
  2. Git clone: https://github.com/ahmed-menshawy/ML_Titanic.git
  3. Install [virtualenv]: (http://virtualenv.readthedocs.org/en/latest/installation.html)
  4. Navigate to the directory where you unzipped or cloned the repo and create a virtual environment with virtualenv ml_titanic...
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