DLEB

DLEB

Model Design
Model Recommendation
Data Download
Documentation

Adding & removing

Grouping

Excluding from group

Total number of layers in a model:

0

Total number of parameters in a model:

0

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view_agenda Layer

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Core Layer

Input layer

Output layer

Dense layer

Flatten layer

Reshape layer

Convolution Layer

1D convolution layer

2D convolution layer

3D convolution layer

1D pooling layer

2D pooling layer

3D pooling layer

1D deconvolution layer

2D deconvolution layer

3D deconvolution layer

Recurrent Layer

Simple RNN layer

GRU layer

LSTM layer

Merging Layer

Concatenate layer

Average layer

Maximum layer

Minimum layer

Add layer

Subtract layer

Multiply layer

Normal- / Regularization

Dropout

Batch normalization

Layer group

Encoder

Decoder

1D Convolutional encoder

1D Convolutional decoder

2D Convolutional encoder

2D Convolutional decoder

3D Convolutional encoder

3D Convolutional decoder

Generator

Discriminator

Inception module A

Inception module B

Inception module C

Advanced Layer

Noise layer

Sampling layer

Bottleneck layer

Pre-trained model

Xception

VGG

ResNet

Inception

MobileNet

DenseNet

NASNet

Custom layer

Custom layer

DNN

Deep Neural Network

Simple DNN

Example DNN for sequences

CNN

Convolution Neural Network

1D-CNN

2D-CNN

2D-CNN

3D-CNN

Lenet-5 architecture

AlexNet architecture

VGG16 architecture

Resnet architecture

Inception architecture

RNN

Recurrent Neural Network

Simple RNN

GRU network

LSTM network

GAN

Generative Adversarial Network

GAN

Wasserstein GAN

AutoEncoder

AutoEncoder

1D convolutional AutoEncoder

2D convolutional AutoEncoder

3D convolutional AutoEncoder

Denoising AutoEncoder

Variational AutoEncoder

Pre-trained Network

Xception

VGG

ResNet

Inception

MobileNet

DenseNet

NASNet

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Mandatory Parameters

Optional Parameters

Error

Cannot import to python code

The several problems are detected in the designed model. Please check the structure and parameters related problems and fix correctly.

Before importing Python code

Check model structure

Model summary

- Total layer count : 0

- Total model parameter count : 0

- Total trainable model parameter count : 0

error

The parameters related to dimensions of users' input data, node and filter count, filter size for layers are not set by DLEB. Please check that the parameters are set correctly.

Model structure

Please decide a proper model structure.

Set training parameters

Processor

Train model using GPU

Train model using CPU

Please select a processer used for model training

Training epoch

Please select a proper epoch value.

Tensorboard

Use Tensorboard

Early stopping

Allow early stopping

Complete

Your model is successfully imported to Python source code.

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