Semantic search Using semantic search Step 1: Create an ingest pipeline Step 2: Create an index for ingestion Step 3: Ingest documents into the index Step 4: Search the index u...

作业10-1 基于CV和NLP章节所学知识，给出一个推荐模型的网络设计方案 作业10-1 基于CV和NLP章节所学知识，给出一个推荐模型的网络设计方案 使用CV和NLP章节学习过的网络结构，将网络结构画图 或代码表示 提交。

支持模型 支持模型 目前，Paddle-Lite已严格验证28个模型的精度和性能。对视觉类模型做到了充分的支持，覆盖分类、检测和定位，也包含了特色的OCR模型的支持。对NLP模型也做到了广泛支持，包含翻译、语义表达等等。 除了已严格验证的模型，Paddle-Lite对其他CV和NLP模型也可以做到大概率支持。 类别 类别细分 模型 支持平台 CV...

Introduction to PipApp Preparation Quick Start Project Compile Train Build Restrictions Introduction to PipApp This function is experimental PipApp can help develope...

Semantic search Using semantic search Step 1: Create an ingest pipeline Step 2: Create an index for ingestion Step 3: Ingest documents into the index Step 4: Search the index u...

Semantic search Using semantic search Step 1: Create an ingest pipeline Step 2: Create an index for ingestion Step 3: Ingest documents into the index Step 4: Search the index u...

Neural sparse search Using neural sparse search Step 1: Create an ingest pipeline Step 2: Create an index for ingestion Step 3: Ingest documents into the index Step 4: Search t...

Neural sparse search Using neural sparse search Step 1: Create an ingest pipeline Step 2: Create an index for ingestion Step 3: Ingest documents into the index Step 4: Search t...

Hybrid search Using hybrid search Step 1: Create an ingest pipeline Step 2: Create an index for ingestion Step 3: Ingest documents into the index Step 4: Configure a search pip...

Neural sparse search Using neural sparse search Step 1: Create an ingest pipeline Step 2: Create an index for ingestion Step 3: Ingest documents into the index Step 4: Search t...