89 Matching Annotations
  1. Last 7 days
  2. Feb 2021
  3. Dec 2020
  4. Jun 2020
  5. May 2020
    1. 人脸相关算法、数据集、文献资源大列表

      人脸相关算法、数据集、文献资源大列表

    1. 图像理解之物体检测object detection,模型rcnn/fastrcnn/fasterrcnn原理及概念

      rcnn/fast rcnn /faster rcnn

    1. An overview of semantic image segmentation.

      An overview of semantic image segmentation.

    1. A guide to receptive field arithmetic for Convolutional Neural Networks

      A guide to receptive field arithmetic for Convolutional Neural Networks

    1. Object Detection Part 4: Fast Detection Models

      Object Detection Part 4: Fast Detection Models

    1. Triplet Loss and Online Triplet Mining in TensorFlow

      triplet loss and online triplet mining

    1. Practical Guide to Hyperparameters Optimization for Deep Learning Models

      Practical Guide to Hyperparameters Optimization for Deep Learning Models

    1. My Deep Learning Reading (and watching) List

      My Deep Learning Reading (and watching) List

    1. Sed - An Introduction and Tutorial by Bruce Barnett

      tutorial

    1. 20 Sed (Stream Editor) Command Examples for Linux Users

      20 Sed (Stream Editor) Command Examples for Linux Users

    1. Use nvidia-docker to create awesome Deep Learning Environments for R (or Python) PT I

      build enviroment with docker

    1. Calculus on Computational Graphs: Backpropagation

      Calculus on Computational Graphs: Backpropagation

    1. “PyTorch - Neural networks with nn modules”

      “PyTorch - Neural networks with nn modules”

    1. “PyTorch - Variables, functionals and Autograd.”

      “PyTorch - Variables, functionals and Autograd.”

  6. Apr 2020
    1. Building efficient data pipelines using TensorFlow

      tf pipeline

    2. Building efficient data pipelines using TensorFlow

      tensorflow data pipeline

  7. Mar 2020
    1. Essential Cheat Sheets for Machine Learning and Deep Learning Engineers

      Essential Cheat Sheets for Machine Learning and Deep Learning Engineers

  8. Dec 2019
    1. TensorFlow: saving/restoring and mixing multiple models

      TensorFlow: saving/restoring and mixing multiple models

    1. 人脸检测--MTCNN从头到尾的详解

      人脸检测--MTCNN从头到尾的详解

    1. 拒绝调包!且看MTCNN人脸检测推断过程详解!

      mtcnn推断过程

    1. Python - C++ bindings

      Python - C++ bindings

    2. Python - C++ bindings

      c++ binding python

  9. Oct 2019
    1. Running a native library on Android L. error: only position independent executables (PIE) are supported

      Running a native library on Android L. error: only position independent executables (PIE) are supported

  10. Sep 2019
    1. 10 Gradient Descent Optimisation Algorithms + Cheat Sheet

      10 Gradient Descent Optimisation Algorithms + Cheat Sheet

  11. Aug 2019
    1. A Comprehensive Hands-on Guide to Transfer Learning with Real-World Applications in Deep Learning

      A Comprehensive Hands-on Guide to Transfer Learning with Real-World Applications in Deep Learning

    1. A simple way to distinguish different optimizers in DeepLearning

      optimizer in deep learning

  12. Jul 2019
  13. Jun 2019
  14. May 2019
    1. Demystifying Parallel and Distributed Deep Learning: An In-Depth Concurrency Analysis

      distributed tensorflow

    1. Target to achieve 20 fps of vehicle/pedestrian detection(Fast R-CNN) on TX2 via TensorRT

      tensorrt for TX2 flatform

    1. Image classification with NVIDIA TensorRT from TensorFlow models.

      tensorrt for image classification

    1. TensorFlow models accelerated with NVIDIA TensorRT

      Nvidia AI-IOT for tf_trt models

  15. Jan 2019
    1. Jeremy Jordan Thoughts, ideas, and new things I've le

      good blog for ai