<commit_before>### The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation:
---

*Work In Progress, Results can't be replicated yet with the model*


What is The One Hundred Layers Tiramisu?

* A state of art (as in Jan 2017) Semantic Pixel-wise Image Segmentation model that consists of a fully deep convolutional blocks with downsampling, skip-layer then to Upsampling architecture. 
* An extension of DenseNets to deal with the problem of semantic segmentation.

 **Fully Convolutional DensNet** = **(Dense Blocks + Transition Down Blocks)** + **(Bottleneck Blocks)** + **(Dense Blocks + Transition Up Blocks)** +  **Pixel-Wise Classification** layer

 ![model](./imgs/tiramisu-103.png)



##### *[The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation (<NAME>, <NAME>, <NAME>, <NAME>, <NAME>) arXiv:1611.09326 cs.CV](https://arxiv.org/abs/1611.09326)*
 	
#### Requirements:
-----

* Keras==2.0.2
* tensorflow-gpu==1.0.1
* or just go ahead and do: `pip install -r requirements.txt`

#### Model Strucure:
-----

* DenseBlock: 
	`BatchNormalization` + `Activation [ Relu ]` + `Convolution2D` + `Dropout` 
<commit_msg>note about keras2<commit_after>### The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation:
---

*Work In Progress, Results can't be replicated yet with the model*

* Keras2 + TF used for the recent updates, which might cause with some confilict from previous version I had in here


What is The One Hundred Layers Tiramisu?

* A state of art (as in Jan 2017) Semantic Pixel-wise Image Segmentation model that consists of a fully deep convolutional blocks with downsampling, skip-layer then to Upsampling architecture. 
* An extension of DenseNets to deal with the problem of semantic segmentation.

 **Fully Convolutional DensNet** = **(Dense Blocks + Transition Down Blocks)** + **(Bottleneck Blocks)** + **(Dense Blocks + Transition Up Blocks)** +  **Pixel-Wise Classification** layer

 ![model](./imgs/tiramisu-103.png)



##### *[The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation (<NAME>, <NAME>, <NAME>, <NAME>, <NAME>) arXiv:1611.09326 cs.CV](https://arxiv.org/abs/1611.09326)*
 	
#### Requirements:
-----

* Keras==2.0.2
* tensorflow-gpu==1.0.1
* or just go ahead and do: `pip install -r requirements.txt`

#### Model Strucure:
-----

* DenseBlock: 
	`BatchNormalization` + `Activation [ Relu ]` + `Convolution2D` + `Dropout` 

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