Intelligent Projects Using Python: 9 real-world AI projects...

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Intelligent Projects Using Python: 9...

Intelligent Projects Using Python: 9 real-world AI projects leveraging machine learning and deep learning with TensorFlow and Keras

Santanu Pattanayak

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Κατηγορίες:

Computers - Computer Science

Έτος:

2019

Έκδοση:

Paperback

Εκδότης:

Packt Publishing

Γλώσσα:

english

Σελίδες:

342

ISBN 10:

1788996925

ISBN 13:

9781788996921

Σειρές:

1

Αρχείο:

PDF, 38.21 MB

IPFS:

,

english, 2019

Αυτό το βιβλίο δεν είναι διαθέσιμο για λήψη λόγω καταγγελίας του κατόχου των πνευματικών δικαιωμάτων

Beware of he who would deny you access to information, for in his heart he dreams himself your master

— Pravin Lal

Ίσως σας ενδιαφέρει

LazyProgrammer — Convolutional Neural Networks in Python: Master Data Science and Machine Learning with Modern Deep Learning in Python, Theano, and TensorFlow (Machine Learning in Python)

Jason Brownlee — Deep Learning with Python: Develop Deep Learning Models on Theano and TensorFLow Using Keras

Jason Brownlee — Machine Learning Mastery with Python: Understand Your Data, Create Accurate Models and Work Projects End-To-End

Jason Brownlee — Statistical Methods for Machine Learning: Discover How to Transform Data into Knowledge with Python

Jason Brownlee — Generative Adversarial Networks with Python: Deep Learning Generative Models for Image Synthesis and Image Translation

Eugene Charniak — Introduction to Deep Learning

Wei-Meng Lee — Python Machine Learning

Michael Bowles — Machine Learning with Spark™ and Python®: Essential Techniques for Predictive Analytics

DK — Coding Projects in Python

Tom Hope, Yehezkel S. Resheff, Itay Lieder — Learning TensorFlow

Aurélien Géron — Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow

Aurélien Géron — Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow

Anirudh Koul, Siddha Ganju, Meher Kasam — Practical Deep Learning for Cloud and Mobile

Sylvain Gugger, Jeremy Howard — Deep Learning for Coders with Fastai and PyTorch

Laurence Moroney — AI and Machine Learning for Coders: A Programmer's Guide to Artificial Intelligence

Jeff Heaton — Artificial Intelligence for Humans, Volume 3

Nishant Shukla — Machine Learning with TensorFlow

Krishna Rungta — TensorFlow in 1 Day Make your own Neural Network

Abhinav Dadhich — Practical Computer Vision: Extract insightful information from images using TensorFlow, Keras, and OpenCV

Joseph Howse, Prateek Joshi, Michael Beyeler — Opencv: Computer Vision Projects with Python

Antonio Gulli, Sujit Pal — Deep Learning with Keras: Implementing Deep Learning Models and Neural Networks with the power of Python

Julian Avila, Trent Hauck — scikit-Learn Cookbook

Manpreet Singh Ghotra, Rajdeep Dua — Neural Network Programming with TensorFlow

David Foster — Generative Deep Learning

Kartik Chaudhary — The GAN Book: Train stable Generative Adversarial Networks using TensorFlow2, Keras and Python

deep learning with keras — deep learning with keras

David Foster; — Generative Deep Learning

Antonio Gulli — TensorFlow 1.x Deep Learning Cookbook

Safari, an O'Reilly Media Company.; Gulli, Antonio; Pal, Sujit — Deep Learning with Keras: Implement various deep-learning algorithms in Keras and see how deep-learning can be used in games

Mehdi Ghayoumi (University of San Diego) — Generative Adversarial Networks in Practice

David Foster — Generative Deep Learning, 2nd Edition (6th Early Release)

David Foster — Generative Deep Learning: Teaching Machines to Paint, Write, Compose, and Play, 2nd Edition (Seventh Early Release)

Palash Goyal; Sumit Pandey; Karan Jain — Deep Learning for Natural Language Processing: Creating Neural Networks with Python

David Foster — Generative Deep Learning: Teaching Machines to Paint, Write, Compose, and Play

Antonio Gulli, Sujit Pal — Deep Learning With Keras

Antonio Gulli — TensorFlow 1.x Deep Learning Cookbook

Abhishek Thakur, Alexey Grigorev, Alberto Boschetti, Luca Massaron — TensorFlow Deep Learning Projects

Giancarlo Zaccone, Md. Rezaul Karim — Deep Learning with TensorFlow

Mike Bernico — Deep Learning Quick Reference: Useful hacks for training and optimizing deep neural networks with TensorFlow and Keras

Yuxi (Hayden) Liu, Saransh Mehta — Hands-On Deep Learning Architectures with Python

Rajesh Arumugam & Rajalingappaa Shanmugamani [Arumugam, Rajesh & Shanmugamani, Rajalingappaa] — Hands-On Natural Language Processing With Python: A Practical Guide to Applying Deep Learning Architectures to Your NLP Applications

Sunil Patel — Getting started with Deep Learning for Natural Language Processing: Learn how to build NLP applications with Deep Learning (English Edition)

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