Deep learning-based forward modeling and inversion techniques for computational physics problems von Wang, Yinpeng 1999-, Ren, Qiang

lizenzpflichtig

THE REGULARIZATION COOKBOOK explore practical recipes to improve the functionality of your ML models von Vandenbussche, Vincent

lizenzpflichtig

Learning deep learning from perceptron to large language models

lizenzpflichtig

Deep learning for finance creating machine and deep learning models for trading in Python von Kaabar, Sofien

lizenzpflichtig

Tim O'Reilly and Reid Hoffman on deepfakes, AI, and the American economy

lizenzpflichtig

Mashinnoe obuchenie s Pytorch i Scikit-Learn

Машинное обучение с Pytorch и Scikit-Learn /

von Raschka, Sebastian, Liu, Yuxi, Mirjalili, Vahid

lizenzpflichtig

What are cost functions?

lizenzpflichtig

What is deep learning?

lizenzpflichtig

What are loss functions?

lizenzpflichtig

What is gradient descent?

lizenzpflichtig

What is a neural network?

lizenzpflichtig

What is the math behind neural networks?

lizenzpflichtig

What is a multilayer perceptron?

lizenzpflichtig

What are convolutional neural networks?

lizenzpflichtig

PyTorch 2.0 for deep learning building and training neural networks from scratch

lizenzpflichtig

DEEP LEARNING FOR MULTIMEDIA PROCESSING APPLICATIONS VOLUME ONE: Image security and intelligent systems for multimedia processing

lizenzpflichtig

Deep learning for multimedia processing applications Volume two: Signal processing and pattern recognition

lizenzpflichtig

Math and architectures of deep learning von Chaudhury, Krishnendu, Ashok, Ananya H., Narumanchi, Sujay, Shankar, Devashish

lizenzpflichtig

DEEP LEARNING FOR TIME SERIES COOKBOOK use PyTorch and Python recipes for forecasting, classification, and anomaly detection von Cerqueira, Vitor, Roque, Luís

lizenzpflichtig

Seisei deep learning e o kaki, monogatari ya ongaku o tsukuri, gēmu o pureisuru / = Generative deep learning :

生成deep learning : 絵を描き, 物語や音楽を作り, ゲームをプレイする /

von Foster, David

lizenzpflichtig