📚
DLIP
search
Ctrlk
  • Introduction
  • Prerequisite
  • Image Processing Basics
    • Noteschevron-right
    • Tutorialchevron-right
    • LABchevron-right
  • Deep Learning for Perception
    • Noteschevron-right
    • Tutorial - PyTorchchevron-right
    • LABchevron-right
    • Tutorial- Keraschevron-right
      • Train Dataset
      • Train custom dataset
      • Test model
      • LeNet-5 Tutorial
      • AlexNet Tutorial
      • VGG Tutorial
      • ResNet Tutorial
    • Resourcechevron-right
  • Must Read Paperschevron-right
  • DLIP Project
    • DLIP 2021 Projectschevron-right
    • DLIP 2022 Projectschevron-right
    • DLIP Past Projects
  • Installation Guide
    • Installation Guide for Pytorchchevron-right
    • Anaconda
    • CUDA cuDNNchevron-right
    • OpenCVchevron-right
    • Frameworkchevron-right
    • IDEchevron-right
    • Ubuntuchevron-right
    • ROS
  • Programming
    • Python_Numpychevron-right
    • Markdownchevron-right
    • Githubchevron-right
    • Keraschevron-right
    • PyTorchchevron-right
  • Resources
    • Useful Resources
    • Githubarrow-up-right-from-square
gitbookPowered by GitBook
block-quoteOn this pagechevron-down
  1. Deep Learning for Perception

Tutorial- Keras

hashtag
Keras Tutorial

hashtag
MLP XOR problem

Design an MLP for XOR problem using Kerasarrow-up-right

hashtag
MLP MNIST, Fashion MNIST

Design an MLP for MNIST classificationarrow-up-right

hashtag
CNN Classification with LeNet

LeNet with CIFAR-10 using Kerasarrow-up-right

hashtag

hashtag
Exercise

hashtag
Exercise 1: MLP Fashion

Assignment: MLP for Fashion MNIST Classificationarrow-up-right

hashtag
Exercise 2: VGG-19 with Opendataset

Design VGG-16 and VGG-19 in Kerasarrow-up-right

hashtag
Exercise 3: VGG-19 with Custom Dataset

Train VGG-16 with Custom Datasetsarrow-up-right

PreviousLAB Report Template (Deep Learning)chevron-leftNextTrain Datasetchevron-right

Last updated 10 months ago

Was this helpful?

  • Keras Tutorial
  • Exercise

Was this helpful?