Advanced Deep Learning with Python : Design and implement advanced next-generation AI solutionsusing TensorFlow and PyTorch

Advanced Deep Learning with Python : Design and implement advanced next-generation AI solutionsusing TensorFlow and PyTorch

Enregistré dans:

Détails bibliographiques
Auteur principal:	Vasilev, Ivan. (Auteur)
Support:	E-Book
Langue:	Anglais
Publié:	Birmingham : Packt Publishing, 2019.
Autres localisations:	Voir dans le Sudoc
Accès en ligne:	Accès à l'E-book

Documents similaires

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

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

Python Deep Learning : Understand how deep neural networks work and apply them to real-world tasks
par: Vasilev, Ivan.

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

Python Machine Learning By Example : Build intelligent systems using Python, TensorFlow 2, PyTorch, and scikit-learn
par: Liu, Yuxi (Hayden).
Publié: (2020)

The deep learning with PyTorch workshop : build deep neural networks and artificial intelligence applications with PyTorch
par: Saleh, Hyatt.
Publié: (2020)

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

Deep Learning with TensorFlow
par: Zaccone, Giancarlo.
Publié: (2017)

Deep learning with PyTorch : a practical approach to building neural network models using PyTorch
par: Subramanian, Vishnu (19..-....).
Publié: (2018)

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

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

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

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

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

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

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

3D Deep Learning with Python : Design and develop your computer vision model with 3D data using PyTorch3D and more
par: Ma, Xudong.
Publié: (2022)

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

Artificial Intelligence with Python Cookbook : Proven recipes for applying AI algorithms and deep learning techniques using TensorFlow 2.x and PyTorch 1.6
par: Auffarth, Ben.
Publié: (2020)

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

Deep Learning with PyTorch Lightning : Swiftly build high-performance Articial Intelligence (AI) models using Python
par: Sawarkar, Kunal.
Publié: (2022)

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

PyTorch Deep Learning Hands-On : Apply modern AI techniques with CNNs, RNNs, GANs, reinforcement learning, and more
par: Thomas, Sherin.
Publié: (2019)

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

Generative Deep Learning with Python : Unleashing the Creative Power of AI by Mastering AI and Python

Deep Learning for Time Series Cookbook : Use PyTorch and Python recipes for forecasting, classification, and anomaly detection
par: Cerqueira, Vitor.

Hands-On Python Deep Learning for the Web : Integrating neural network architectures to build smart web apps with Flask, Django, and TensorFlow
par: Singh, Anubhav.
Publié: (2020)

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

Time Series Forecasting using Deep Learning : Combining PyTorch, RNN, TCN, and Deep Neural Network Models to Provide Production-Ready Prediction Solutions
par: Gridin, Ivan.

Deep learning with PyTorch quick start guide : learn to train and deploy neural network models in Python
par: Julian, David.
Publié: (2018)

TensorFlow 1.x Deep Learning Cookbook
par: Gulli, Antonio.
Publié: (2017)

Advanced Deep Learning with R : Become an expert at designing, building, and improving advanced neural network models using R
par: Rai, Bharatendra.
Publié: (2019)

Hands-On One-shot Learning with Python : Learn to implement fast and accurate deep learning models with fewer training samples using PyTorch
par: Jadon, Shruti.
Publié: (2020)

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

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

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

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

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

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

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

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