本书是一本使用 PyTorch 进行机器学习和深度学习的综合指南!不仅涵盖了Python机器学习库和用机器学习库搭建神经网络模型的方法,还介绍了机器学习算法的数学理论、工作原理、使用方法、实现细节以及如何避免机器学习算法实现过程中的常见问题。 书中还涵盖了多种用于文本和图像分类的机器学习与深度学习方法,包括全连接神经网...
Machine Learning with PyTorch and Scikit-Learn by Sebastian Raschka 星级: 323 页 Sebastian Raschka, Vahid Mirjalili-Python Machine Learning. Machine Learning and Deep Learning with Python, scikit-learn and Ten 星级: 606 页 Python Machine Learning Machine Learning and Deep Learning with Python,...
Machine Learning with PyTorch and Scikit-Learnhas been a long time in the making, and I am excited to finally get to talk about the release of my new book. Initially, this project started as the 4th edition ofPython Machine Learning. However, we made so many changes to the book that we...
Azure Machine Learning Learn key concepts used to build machine learning models with PyTorch. We'll train a neural network model that recognizes and classifies images. Learning objectives In this module you will: Learn how to use Tensors with CPUs and GPUs ...
Interpretable Machine Learning with Python, Second Edition, brings to light the key concepts of interpreting machine learning models by analyzing real-world data, providing you with a wide range of skills and tools to decipher the results of even the most complex models. Build your interpretability...
Yuxi (Hayden) Liu was a Machine Learning Software Engineer at Google. With a wealth of experience from his tenure as a machine learning scientist, he has applied his expertise across data-driven domains and applied his ML expertise in computational advertising, cybersecurity, and information retriev...
Machine Learning with PyTorch and Scikit-Learn is a comprehensive gui... (展开全部) 作者简介· ··· Sebastian Raschka is an Assistant Professor of Statistics at the University of Wisconsin-Madison focusing on machine learning and deep learning research. As Lead AI Educator at Grid AI, Sebastian...
Applying Machine Learning to Sentiment Analysis Predicting Continuous Target Variables with Regression Analysis Working with Unlabeled Data – Clustering Analysis Implementing a Multi-layer Artificial Neural Network from Scratch Parallelizing Neural Network Training with PyTorch ...
Setup a machine learning environment with PyTorch on Mac (short version) Note:As of June 30 2022, accelerated PyTorch for Mac (PyTorch using the Apple Silicon GPU) is still in beta, so expect some rough edges. Requirements: Apple Silicon Mac (M1, M2, M1 Pro, M1 Max, M1 Ultra, etc)....
FNN结构相对简单,适合新手入门学习。通过学习FNN,我们可快速形成对神经网络的初步认知,为以后更深入的学习打下良好基础。在本篇文章中,我将以Kaggle经典项目“Titanic - Machine Learning from Disaster”为例,带领大家学习前馈神经网络的基础知识和如何用pytorch搭建简单的以FNN为基础的机器学习模型。