Essentials of Deep Learning and AI : Experience Unsupervised Learning, Autoencoders, Feature Engineering, and Time Series Analysis with TensorFlow, Keras, and scikit-learn

Essentials of Deep Learning and AI : Experience Unsupervised Learning, Autoencoders, Feature Engineering, and Time Series Analysis with TensorFlow, Keras, and scikit-learn

Sparad:

Bibliografiska uppgifter
Huvudupphovsman:	Soppin, Shashidhar. (Författare, medförfattare)
Övriga upphovsmän:	Ramachandra, Manjunath. (Auteur), Chandrashekhar, B.N..
Materialtyp:	E-Book
Språk:	Anglais
Publicerad:	New Delhi : BPB Publications.
Autres localisations:	Voir dans le Sudoc
Länkar:	Accès à l'E-book

Liknande verk

Deep Learning with TensorFlow and Keras : Build and deploy supervised, unsupervised, deep, and reinforcement learning models
av: Kapoor, Amita.
Publicerad: (2022)

R deep learning essentials : a step-by-step guide to building deep learning models using TensorFlow, Keras, and MXNet
av: Hodnett, Mark.
Publicerad: (2018)

Deep learning with Keras : implement neural networks with Keras on Theano and TensorFlow
av: Gulli, Antonio.
Publicerad: (2017)

Applied deep learning with Python : use scikit-learn, TensorFlow, and Keras to create intelligent systems and machine learning solutions
av: Galea, Alex.
Publicerad: (2018)

Deep Learning with TensorFlow
av: Zaccone, Giancarlo.
Publicerad: (2017)

Hands-on deep learning with TensorFlow
av: Boxel, Dan Van.
Publicerad: (2017)

Python deep learning : exploring deep learning techniques and neural network architectures with PyTorch, Keras, and TensorFlow
Publicerad: (2019)

Beginning with Deep Learning using Tensorflow : A Beginners Guide to TensorFlow and Keras for Practicing Deep Learning Principles and Applications
av: Silaparasetty, Mohan Kumar.
Publicerad: (2022)

The Deep Learning Workshop : Learn the skills you need to develop your own next-generation deep learning models with TensorFlow and Keras
av: Baig, Mirza Rahim.
Publicerad: (2020)

Advanced Deep Learning with TensorFlow 2 and Keras : Apply DL, GANs, VAEs, deep RL, unsupervised learning, object detection and segmentation, and more
av: Atienza, Rowel.
Publicerad: (2020)

Advanced deep learning with Keras : apply deep learning techniques, autoencoders, GANs, variational autoencoders, deep reinforcement learning, policy gradients, and more
av: Atienza, Rowel.
Publicerad: (2018)

Hands-on deep learning for images with TensorFlow
av: Ballard, Will.
Publicerad: (2018)

Hands-on unsupervised learning with Python : implement machine learning and deep learning models using Scikit-Learn, TensorFlow, and more
av: Bonaccorso, Giuseppe.
Publicerad: (2019)

Deep learning quick reference : useful hacks for training and optimizing deep neural networks with TensorFlow and Keras
av: Bernico, Mike.
Publicerad: (2018)

TensorFlow 1.x Deep Learning Cookbook
av: Gulli, Antonio.
Publicerad: (2017)

Deep learning for computer vision : expert techniques to train advanced neural networks using TensorFlow and Keras
av: Shanmugamani, Rajalingappaa (19..-....).
Publicerad: (2018)

Python Machine Learning : Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow 2
av: Raschka, Sebastian.
Publicerad: (2019)

Hands-On Deep Learning Architectures with Python : Create deep neural networks to solve computational problems using TensorFlow and Keras
av: Liu, Yuxi (Hayden).
Publicerad: (2019)

Deep learning avec Keras et TensorFlow : mise en oeuvre et cas concrets
av: Géron, Aurélien (19..-....).

Java deep learning essentials : dive into the future of data science and learn how to build the sophisticated algorithms that are fundmental to deep learning and AI with java
av: Sugomori, Yusuke.
Publicerad: (2016)

Deep Learning with R for Beginners : Design neural network models in R 3.5 using TensorFlow, Keras, and MXNet
av: Hodnett, Mark.
Publicerad: (2019)

Deep learning essentials : your hands-on guide to the fundamentals of deep learning and neural network modeling
av: Di, Wei.
Publicerad: (2018)

Learn AI with Python : Explore Machine Learning and Deep Learning techniques for Building Smart AI Systems Using Scikit-Learn, NLTK, NeuroLab, and Keras
av: Leekha, Gaurav.

Beginning with Machine Learning : The Ultimate Introduction to Machine Learning, Deep Learning, Scikit-learn, and TensorFlow (English Edition)
av: Dua, Amit.

Deep learning with TensorFlow : explore neural networks and build intelligent systems with Python
av: Zaccone, Giancarlo.
Publicerad: (2018)

Production-Ready Applied Deep Learning : Learn how to construct and deploy complex models in PyTorch and TensorFlow deep learning frameworks
av: Palczewski, Tomasz.
Publicerad: (2022)

Advanced Deep Learning with Python : Design and implement advanced next-generation AI solutionsusing TensorFlow and PyTorch
av: Vasilev, Ivan.
Publicerad: (2019)

Hands-On Deep Learning Algorithms with Python : Master deep learning algorithms with extensive math by implementing them using TensorFlow
av: Ravichandiran, Sudharsan.
Publicerad: (2019)

Hands-On Q-Learning with Python : Practical Q-learning with OpenAI Gym, Keras, and TensorFlow
av: Habib, Nazia.
Publicerad: (2019)

Deep Reinforcement Learning with Python : Master classic RL, deep RL, distributional RL, inverse RL, and more with OpenAI Gym and TensorFlow
av: Ravichandiran, Sudharsan.
Publicerad: (2020)

Design Patterns of Deep Learning with TensorFlow : Building a customer hyper-personalisation ecosystem using deep learning design patterns
av: Joseph, Thomas V..

TensorFlow deep learning projects : 10 real-world projects on computer vision, machine translation, chatbots, and reinforcement learning
av: Massaron, Luca (19..-....).
Publicerad: (2018)

Hands-on transfer learning with Python : implement advanced deep learning and neural network models using TensorFlow and Keras
av: Sarkar, Dipanjan (19..-....).
Publicerad: (2018)

R deep learning cookbook : solve complex neural net problems with TensorFlow, H2O and MXNet
av: Prakash, PKS..
Publicerad: (2017)

Building Machine Learning Systems with Python : Explore machine learning and deep learning techniques for building intelligent systems using scikit-learn and TensorFlow
av: Coelho, Luis Pedro.
Publicerad: (2018)

Reinforcement learning with TensorFlow : a beginner's guide to designing self-learning systems with TensorFlow and OpenAI Gym
av: Dutta, Sayon.
Publicerad: (2018)

Mastering TensorFlow 1.x : advanced machine learning and deep learning concepts using TensorFlow 1.x and Keras
av: Fandango, Armando.
Publicerad: (2018)

Practical Deep Reinforcement Learning with Python : Concise Implementation of Algorithms, Simplified Maths, and Effective Use of TensorFlow and PyTorch
av: Gridin, Ivan.

What's New in TensorFlow 2.0 : Use the new and improved features of TensorFlow to enhance machine learning and deep learning
av: Baranwal, Ajay.
Publicerad: (2019)

Hands-on reinforcement learning with Python : master reinforcement and deep reinforcement learning using OpenAI Gym and TensorFlow
av: Ravichandiran, Sudharsan.
Publicerad: (2018)

Université catholique de l'Ouest - Bibliothèques - 3 place André Leroy - BP10808 - 49008 ANGERS Cedex 1