Hands-on machine learning with Scikit-Learn, Keras, and TensorFlow : concepts, tools, and techniques to build intelligent systems /
Géron, Aurélien,
Hands-on machine learning with Scikit-Learn, Keras, and TensorFlow : concepts, tools, and techniques to build intelligent systems / Aurélien Géron. - 3rd ed. - Sebastapol, CA, O'Reilly Media, Inc., 2023. - xxv, 834 p.: ill. (some col.) ; 24 cm
Includes bibliographical references and index.
The fundamentals of machine learning. The machine learning landscape--End-to-end machine learning project--Classification--Training model--Support vector machines--Decision trees ; Ensemble learning and random forests--Dimensionality reduction--Unsupervised learning techniques--Neural networks and deep learning. Introduction to artificial neural networks with Keras--Training deep neural networks--Custom models and training with TensorFlow--Loading and preprocessing data with TensorFlow--Deep computer vision using convolutional neural networks--Processing sequences using RNNs and CNNs--Natural language processing with RNNs and attention--Autoencoders, GANs, and diffusion models--Reinforcement learning--Training and deploying TensorFlow models at scale.
9781098125974
2020304725
TensorFlow.
Python (Computer program language)
Machine learning.
Artificial intelligence.
QA76.73 / G47 2023
005.133
Hands-on machine learning with Scikit-Learn, Keras, and TensorFlow : concepts, tools, and techniques to build intelligent systems / Aurélien Géron. - 3rd ed. - Sebastapol, CA, O'Reilly Media, Inc., 2023. - xxv, 834 p.: ill. (some col.) ; 24 cm
Includes bibliographical references and index.
The fundamentals of machine learning. The machine learning landscape--End-to-end machine learning project--Classification--Training model--Support vector machines--Decision trees ; Ensemble learning and random forests--Dimensionality reduction--Unsupervised learning techniques--Neural networks and deep learning. Introduction to artificial neural networks with Keras--Training deep neural networks--Custom models and training with TensorFlow--Loading and preprocessing data with TensorFlow--Deep computer vision using convolutional neural networks--Processing sequences using RNNs and CNNs--Natural language processing with RNNs and attention--Autoencoders, GANs, and diffusion models--Reinforcement learning--Training and deploying TensorFlow models at scale.
9781098125974
2020304725
TensorFlow.
Python (Computer program language)
Machine learning.
Artificial intelligence.
QA76.73 / G47 2023
005.133