> For the complete documentation index, see [llms.txt](https://ykkim.gitbook.io/dlip/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://ykkim.gitbook.io/dlip/deep-learning-for-perception/example-code.md).

# Tutorial- Keras

## Keras Tutorial

#### MLP XOR problem

[Design an MLP for XOR problem using Keras](https://github.com/ykkimhgu/DLIP-src/blob/main/Tutorial_XOR_MLP_Keras_2021.ipynb)

#### MLP MNIST, Fashion MNIST

[Design an MLP for MNIST classification](https://github.com/ykkimhgu/DLIP-src/blob/main/Tutorial_MNIST_MLP_Keras_2021.ipynb)

#### CNN Classification with LeNet

[LeNet with CIFAR-10 using Keras](https://github.com/ykkimhgu/DLIP-src/blob/main/Tutorial_LeNET_Keras_2021.ipynb)

###

## Exercise

#### Exercise 1: MLP Fashion

[Assignment: MLP for Fashion MNIST Classification](https://github.com/ykkimhgu/DLIP-src/blob/main/Assignment_Keras_MLP_FashionMNIST.ipynb)

#### Exercise 2: VGG-19 with Opendataset

[Design VGG-16 and VGG-19 in Keras](https://github.com/ykkimhgu/DLIP-src/blob/main/Tutorial_VGG_Keras_2021.ipynb)

#### Exercise 3: VGG-19 with Custom Dataset

[Train VGG-16 with Custom Datasets](https://github.com/ykkimhgu/DLIP-src/blob/main/Exercise_CustomTrain_VGG.ipynb)