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EX 4: Classifier Comparison
分類法/範例四: Classifier comparison (一)引入函式並準備分類器 (二)準備測試資料 (三)測試分類器並作圖 (四) 原始碼列表 分類法/範例四: Classifier comparison 這個範例的主要目的 比較各種分類器 利用圖示法觀察各種分類器的分類邊界及區域 (一)引入函式並準備分類器 將分類器引... -
Performance Issues Debugging
DL4J and ND4J: How to Debugging Performance Issues Step 1: Check if correct backend is used Step 2: Check for cuDNN Step 3: Check for ETL (Data Loading) Bottlenecks Step 4: Chec... -
Callbacks
Core Hooks Progress Schedulers Data Mixed Precision MixUp and Friends Predictions RNN Tracker Training -
Overview of Jupyter Notebooks in Kubeflow
Overview of Jupyter Notebooks in Kubeflow Out of date Next steps Overview of Jupyter Notebooks in Kubeflow Why use Jupyter notebooks in Kubeflow Out of date This guide con... -
LinearRegressionTrain(batch)
Description Parameters Script Example Script Result Description Train a regression model. Parameters Name Description Type Required？ Default Value optimMetho... -
Introduction to Pipeline
Introduction to Pipeline Preparation Run Pipeline Introduction to Pipeline In Pipcook, we use Pipeline to represent the training process of a model, so in general, what kind ... -
LogisticRegressionTrain(batch)
Description Parameters Script Example Script Result Description Logistic regression train batch operator. we use log loss func by setting LinearModelType = LR and model nam... -
迁移学习教程
迁移学习教程 加载数据 可视化一些图像 训练模型 可视化模型预测 微调卷积网络 训练和评估 ConvNet 作为固定特征提取器 训练和评估 迁移学习教程 译者：片刻 校对者：cluster 作者 : Sasank Chilamkurthy 在本教程中，您将学习如何使用迁移学习来训练您的网络。您可以在 cs231n 笔... -
Running an experiment
Running an experiment Packaging your training code in a container image Configuring the experiment Configuration spec Search algorithms in detail Grid search Random search Baye... -
Improving Deep Neural Networks: Hyperparameter tun
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization This is the second course of the deep learning specialization at Coursera which is moderat...