1484251768

Beginning Anomaly Detection Using Python-Based Deep Learning: With Keras and PyTorch

Sridhar Alla, "Beginning Anomaly Detection Using Python-Based Deep Learning: With Keras and PyTorch"
English | ISBN: 1484251768 | 2019 | 416 pages | EPUB, PDF | 42 MB + 27 MB

Beginning Anomaly Detection Using Python-Based Deep Learning: With Keras and PyTorch  eBooks & eLearning

Posted by AvaxGenius at Nov. 6, 2019
Beginning Anomaly Detection Using Python-Based Deep Learning: With Keras and PyTorch

Beginning Anomaly Detection Using Python-Based Deep Learning: With Keras and PyTorch by Sridhar Alla
English | EPUB | 2019 | 427 Pages | ISBN : 1484251768 | 42.07 MB

Utilize this easy-to-follow beginner's guide to understand how deep learning can be applied to the task of anomaly detection. Using Keras and PyTorch in Python, the book focuses on how various deep learning models can be applied to semi-supervised and unsupervised anomaly detection tasks.
Beginning Anomaly Detection Using Python-Based Deep Learning: With Keras and PyTorch (repost)

Sridhar Alla, "Beginning Anomaly Detection Using Python-Based Deep Learning: With Keras and PyTorch"
2019 | English | ISBN: 1484251768 | 416 pages | PDF | 27 MB
Beginning Anomaly Detection Using Python-Based Deep Learning: With Keras and PyTorch (Repost)

Beginning Anomaly Detection Using Python-Based Deep Learning: With Keras and PyTorch by Sridhar Alla
English | EPUB | 2019 | 427 Pages | ISBN : 1484251768 | 42.07 MB

Utilize this easy-to-follow beginner's guide to understand how deep learning can be applied to the task of anomaly detection. Using Keras and PyTorch in Python, the book focuses on how various deep learning models can be applied to semi-supervised and unsupervised anomaly detection tasks.
Beginning Anomaly Detection Using Python-Based Deep Learning: With Keras and PyTorch (Repost)

Beginning Anomaly Detection Using Python-Based Deep Learning: With Keras and PyTorch by Sridhar Alla
English | EPUB | 2019 | 427 Pages | ISBN : 1484251768 | 42.07 MB

Utilize this easy-to-follow beginner's guide to understand how deep learning can be applied to the task of anomaly detection. Using Keras and PyTorch in Python, the book focuses on how various deep learning models can be applied to semi-supervised and unsupervised anomaly detection tasks.