📚
DLIP
Ctrlk
  • Introduction
  • Prerequisite
  • Image Processing Basics
    • Notes
    • Tutorial
    • LAB
  • Deep Learning for Perception
    • Notes
      • Lane Detection with Deep Learning
      • Overview of Deep Learning
      • Perceptron
      • Activation Function
      • Optimization
      • Convolution
      • CNN Overview
      • Evaluation Metric
      • LossFunction Regularization
      • Bias vs Variance
      • BottleNeck Unit
      • Object Detection
      • DL Techniques
    • Tutorial - PyTorch
    • LAB
    • Tutorial- Keras
    • Resource
  • Must Read Papers
  • DLIP Project
    • DLIP 2021 Projects
    • DLIP 2022 Projects
    • DLIP Past Projects
  • Installation Guide
    • Installation Guide for Pytorch
    • Anaconda
    • CUDA cuDNN
    • OpenCV
    • Framework
    • IDE
    • Ubuntu
    • ROS
  • Programming
    • Python_Numpy
    • Markdown
    • Github
    • Keras
    • PyTorch
  • Resources
    • Useful Resources
    • Github
Powered by GitBook
On this page

Was this helpful?

  1. Deep Learning for Perception

Notes

  • Overview of Deep Learning

    • Deep Learning Basics: Introduction

    • Deep Learning State of the Art

    • CNN, Object Detection

  • Perceptron

  • Activation Function

  • Optimization

  • Convolution

  • CNN Overview

  • Evaluation Metric

  • LossFunction Regularization

  • Bias vs Variance

  • BottleNeck Unit

  • DL Techniques

    • Technical Strategy by A.Ng

  • Object Detection

PreviousLAB: Tension Detection of Rolling Metal SheetNextLane Detection with Deep Learning

Last updated 8 months ago

Was this helpful?