PyTorch的基本安装、配置和使用方法。 深度学习模型的基本构建块,如张量操作、自动求导、神经网络层等。 如何使用PyTorch构建和训练各种深度学习模型,如全连接神经网络、卷积神经网络(CNN)、循环神经网络(RNN)等。 深度学习模型的优化技巧,如学习率调整、权重初始化、正则化等。 Scikit-Learn传统机器学习: Scikit-Learn...
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
Best Course It is the Best Course for Machine Learning! Sir has been like always has such important & difficult concepts of ML with such ease and great examples, Just amazing! Helpful 2 years ago Had a wonderfull experience and great use of knowledge. had a great time with you guys Thank...
CNN.py Pytorch Mar 8, 2024 Diffusion_Model.py Pytorch Mar 8, 2024 Gaussian Naive Bayes.py Pytorch Mar 8, 2024 K-Means.py Pytorch Mar 8, 2024 Logistic Regression.py Pytorch Mar 8, 2024 README.md Initial commit Mar 8, 2024 Reinforce _Learning.py Pytorch Mar 8, 2024 SVM.py Pytorch Mar...
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...
PyTorch: AMachine Learning libraryfor Python programs that facilitates building Deep Learning projects. Machine Learning using Python is easy with the PyTorch tool. TensorFlow: TensorFlow is an open-source Machine Learning system that explains classification and regression algorithms from start to finish ...
freeCodeCamp: Machine Learning with Python Participants can watch hours of free videos about machine learning. At the end, each course has one learning multiple-choice question. Users are provided five different challenges to take on. The interactive projects include the creation of a book recommend...
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...
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...
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 ...