Deep Learning With Keras
I 10 migliori prodotti di giugno 2025
Ultimo aggiornamento:
18 giugno 2025
Independently published
Deep Learning con Keras e Tensorflow: Progetti di Intelligenza Artificiale
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#1 VINCITORE
Independently published
Keras: Master Deep Learning with Keras
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#2
Packt Publishing
Deep Learning with TensorFlow and Keras: Build and deploy supervised, unsupervised, deep, and reinforcement learning models, 3rd Edition
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94
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Amazon.it
#3
Independently published
Deep Dive into Deep Learning with Keras and TensorFlow: Build AI Models for Computer Vision, NLP, and More
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#4
Independently published
Machine Learning e Deep Learning con Python: Guida essenziale per programmare e implementare reti neurali e modelli predittivi. Dalla teoria alla pratica con TensorFlow 2, Keras e Scikit-learn.
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85
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#5
Packt Publishing
Deep Learning with TensorFlow 2 and Keras: Regression, ConvNets, GANs, RNNs, NLP, and more with TensorFlow 2 and the Keras API, 2nd Edition
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81
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#6
MIT Press
Deep Learning
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80
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#7
O'Reilly Media, Inc.
Hands-On Machine Learning with Scikit-Learn, Keras, and Tensorflow: Concepts, Tools, and Techniques to Build Intelligent Systems
13% Sconto
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77
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#8
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Use scikit-learn to track an example ML project end to end
Explore several models, including support vector machines, decision trees, random forests, and ensemble methods
Exploit unsupervised learning techniques such as dimensionality reduction, clustering, and anomaly detection
Dive into neural net architectures, including convolutional nets, recurrent nets, generative adversarial networks, autoencoders, diffusion models, and transformers
Use TensorFlow and Keras to build and train neural nets for computer vision, natural language processing, generative models, and deep reinforcement learning
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Packt Publishing
Deep Learning with Keras: Implementing deep learning models and neural networks with the power of Python (English Edition)
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Amazon.it
#9
Packt Publishing
Advanced Deep Learning with TensorFlow 2 and Keras: Apply DL, GANs, VAEs, deep RL, unsupervised learning, object detection and segmentation, and more, 2nd Edition
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#10
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