Deep Learning with Python: Develop Deep Learning Models on...

Main
Computers - Algorithms and Data Structures
Deep Learning with Python: Develop Deep...

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

Jason Brownlee

5.0 / 5.0

Quanto ti piace questo libro?

Qual è la qualità del file?

Scarica il libro per la valutazione della qualità

Qual è la qualità dei file scaricati?

Categorie:

Computers - Algorithms and Data Structures

Anno:

2016

Edizione:

v1.7

Casa editrice:

Machine Learning Mastery

Lingua:

english

Pagine:

255

File:

PDF, 4.64 MB

IPFS:

,

english, 2016

Scaricare (pdf, 4.64 MB)

La conversione in è in corso

La conversione in non è riuscita

Puoi essere interessati a

Jason Brownlee — Probability for Machine Learning - Discover How To Harness Uncertainty With Python

Jason Brownlee — Better Deep Learning: Train Faster, Reduce Overfitting, and Make Better Predictions

Jason Brownlee — Data Preparation for Machine Learning - Data Cleaning, Feature Selection, and Data Transforms in Python

Jason Brownlee — Deep Learning for Computer Vision - Image Classification, Object Detection and Face Recognition in Python

Jason Brownlee — Introduction to Time Series Forecasting with Python: How to Prepare Data and Develop Models to Predict the Future (Version 1.9)

Jason Brownlee — Machine learning mastery with Weka

Jason Brownlee — Ensemble Machine Learning With Python: 7-Day Mini-Course

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 — Machine Learning Mastery with R: Get Started, Build Accurate Models and Work Through Projects Step-by-Step

Adrian Rosebrock — Deep Learning for Computer Vision with Python, Volume 2

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 — Deep Learning for Time Series Forecasting: Predict the Future with MLPs, CNNs and LSTMs in Python

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

Jason Brownlee — Deep Learning for Time Series Forecasting - Predict the Future with MLPs, CNNs and LSTMs in Python

Jason Brownlee — Long Short-Term Memory Networks With Python: Develop Sequence Prediction Models With Deep Learning

Jason Brownlee — Data Preparation for Machine Learning: Data Cleaning, Feature Selection, and Data Transforms in Python

Josh Hugh Learning — Python Machine Learning. A Crash Course for Beginners to Understand Machine learning, Artificial Intelligence, Neural Networks, and Deep Learning with Scikit-Learn, TensorFlow, and Keras.

Jason Brownlee — Deep Learning for Natural Language Processing: Develop Deep Learning Models for Natural Language in Python

Ian Goodfellow, Yoshua Bengio, Aaron Courville — Deep Learning

Eugene Charniak — Introduction to Deep Learning

Steven Bird, Ewan Klein, Edward Loper — Natural Language Processing with Python

Dinesh P. Mehta, Sartaj Sahni (editors) — Handbook of data structures and applications

Jason Brownlee — Clever Algorithms. Nature-Inspired Programming Recipes

Jason Brownlee — Machine Learning Mastery with R

J. Patterson, A. Gibson — Deep Learning: A Practitioner's Approach

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

Ankur A. Patel — Hands-On Unsupervised Learning Using Python

Seth Weidman — Deep Learning from Scratch

David Foster — Generative Deep Learning

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

Jeff Heaton — Artificial Intelligence for Humans, Volume 3

Francois Chollet — Deep Learning with Python, 2nd Edition (Final Release)

Eli Stevens, Luca Antiga, Thomas Viehmann — Deep Learning With Pytorch

Alexander Zai, Brandon Brown — Deep Reinforcement Learning in Action

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

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

Termini più frequenti

Liste di libri correlati