Tencent TDS Service
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Tencent TDS Service

TDS Service offers client and web front‑end developers and operators an intelligent low‑code platform, cross‑platform development framework, universal release platform, runtime container engine, monitoring and analysis platform, and a security‑privacy compliance suite.

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Tencent TDS Service
Tencent TDS Service
Dec 6, 2018 · Mobile Development

Why IMP Calls Crash on ARM64 iOS: Uncovering Variadic ABI Pitfalls

This article investigates a crash caused by calling IMP pointers on ARM64 iOS devices, explains how variadic function argument passing differs from the standard ABI, demonstrates the issue with test code and assembly analysis, and provides a solution by explicitly casting IMP to the correct function type.

ARM64IMPObjective‑C
0 likes · 16 min read
Why IMP Calls Crash on ARM64 iOS: Uncovering Variadic ABI Pitfalls
Tencent TDS Service
Tencent TDS Service
Jul 12, 2018 · Artificial Intelligence

How to Engineer MobileNet for Efficient Image Classification on Mobile Devices

This article details the engineering of MobileNet V1 for image classification on mobile terminals, covering its depthwise separable convolution architecture, data collection and preprocessing, model training with transfer learning, TensorFlow Lite conversion, deployment on iOS/Android, and GPU acceleration techniques for faster inference.

GPU accelerationMobile DeploymentMobileNet
0 likes · 19 min read
How to Engineer MobileNet for Efficient Image Classification on Mobile Devices
Tencent TDS Service
Tencent TDS Service
Jun 7, 2018 · Artificial Intelligence

Upgrading HED Edge Detection to TensorFlow 1.7: Refactored Code and New Layer Techniques

This tutorial walks through rewriting the HED edge‑detection network for TensorFlow 1.7, covering deprecated API fixes, migration from TF‑Slim to tf.layers, matrix initialization, batch normalization nuances, and a comprehensive review of convolution variants such as 1×1, depthwise, separable, and dilated convolutions, plus guidance on transposed convolutions and modern architectures like ResNet and Inception.

CNNConvolutionEdge Detection
0 likes · 24 min read
Upgrading HED Edge Detection to TensorFlow 1.7: Refactored Code and New Layer Techniques
Tencent TDS Service
Tencent TDS Service
May 10, 2018 · Frontend Development

How Tencent Dajia Mini‑Program Boosts Mobile Content Aggregation and User Engagement

The article details the design, features, and technical implementation of the Tencent Dajia WeChat mini‑program, explaining how it aggregates high‑quality Chinese internet content, supports multi‑device data sharing, author and column management, user login, collection, sharing, commenting, and analytics, while providing practical code snippets and development tips for front‑end engineers.

Tencent DajiaWeChat mini-programcontent aggregation
0 likes · 35 min read
How Tencent Dajia Mini‑Program Boosts Mobile Content Aggregation and User Engagement
Tencent TDS Service
Tencent TDS Service
Mar 15, 2018 · Artificial Intelligence

Step-by-Step TensorFlow Setup on Windows and Build MNIST CNN from Scratch

This guide walks you through installing Anaconda, creating a TensorFlow virtual environment on Windows, configuring CPU and GPU versions, and implementing both a basic softmax regression and a deep convolutional neural network for MNIST digit recognition, complete with code snippets, training tips, and visualization tools.

AnacondaCNNGPU
0 likes · 21 min read
Step-by-Step TensorFlow Setup on Windows and Build MNIST CNN from Scratch
Tencent TDS Service
Tencent TDS Service
Mar 8, 2018 · Mobile Development

How to Detect and Analyze Android Thread Deadlocks with Automated Monitoring

This article describes the background of Android thread freeze issues caused by deadlocks, presents a client‑server monitoring architecture that captures thread and lock information via system traces, details automated analysis methods for deadlock detection and non‑deadlock causes, and shares the observed performance improvements and future plans.

AndroidDeadlockthread monitoring
0 likes · 17 min read
How to Detect and Analyze Android Thread Deadlocks with Automated Monitoring
Tencent TDS Service
Tencent TDS Service
Feb 1, 2018 · Backend Development

How a TV App’s Waterfall Layout Boosted User Engagement and Efficiency

This article details the redesign of a TV app from a horizontal layout to a waterfall flow, explaining the project timeline, advantages, new seven‑layer architecture, CMS‑driven configuration, compatibility handling, pagination strategies, caching, and fault‑tolerance measures that together improved user conversion and system robustness.

CMSPaginationTV app
0 likes · 36 min read
How a TV App’s Waterfall Layout Boosted User Engagement and Efficiency