这周课程视频内容较多,我的闲话超多,所以这篇较长,加上本周狂打阿瓦隆,因此拖更;下周去泰国旅游,大概断更。 本周笔记摘自“deeplearning.ai”第二门课程“Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization”的Week 3。至此,第二门课程内容也正式结束。 1 Hyperparameter Tuni...
kubernetesdata-sciencemachine-learningdeep-learningtensorflowkeraspytorchhyperparameter-optimizationhyperparameter-tuninghyperparameter-searchdistributed-trainingml-infrastructuremlopsml-platform UpdatedJan 23, 2025 Go scikit-optimize/scikit-optimize Star2.8k
71 - Day 6 Building Neural Networks with PyTorch 26:29 72 - Day 7 Neural Network Project Image Classification on CIFAR10 22:10 73 - Introduction to Week 10 Convolutional Neural Networks CNNs 00:49 74 - Day 1 Introduction to Convolutional Neural Networks 26:17 75 - Day 2 Convolutiona...
Train a language model using an existing repository, such as thepytorch language modeling tutorial. This should save a .pt file with the trained model Copy the file dynamiceval.py into the repository Run dynamic evaluation with:python dynamiceval.py --model modelname.pt ...
Take your GBM models to the next level with hyperparameter tuning. Find out how to optimize the bias-variance trade-off in gradient boosting algorithms.
Train models with PyTorch Train interpretable models for classification Train interpretable models for regression Use AutoML and tune visualizations Run hyperparameter tuning trials Run AutoML trials Track models and experiments Model scoring Secure and manage ML items Apache Spark AI services Use Python Us...
Conversely, other scaling rules, like the default in PyTorch or the NTK parameterization (opens in new tab) studied in the theoretical literature, are looking at regions in the hyperparameter space farther and farther from the optimum as the network gets wider. In that regard, we believe that...
Hyperparameter Tuning of Neural Network for High-Dimensional Problems in the Case of Helmholtz EquationHPOPINNHelmholtz equationPyTorchRay TuneIn this work, we study the effectiveness of common hyperparameter optimization (HPO) methods for physics-informed neural networks (PINNs) with an application to ...
models. This book curates numerous hyperparameter tuning methods for Python, one of the most popular coding languages for machine learning. Alongside in-depth explanations of how each method works, you will use a decision map that can help you identify the best tuning method for your ...
Machine Learning with PyTorch and Scikit-Learn [Packt] [Amazon] Get to Know the Author Louis Owen is a data scientist/AI engineer from Indonesia who is always hungry for new knowledge. Throughout his career journey, he has worked in various fields of industry, including NGOs, e-commerce,...