Overview About Deep Belief Image recognition SDK presented in TuniPiJam. Documentation is Available here https://github.com/jetpacapp/DeepBeliefSDK

1. Machine Learning

3. Some Machine Learning Tools

4. Deep Belief Image Recognition

5. Before We Start
sudo nano /boot/config.txt
# add gpu line below to bottom of file
gpu_mem=128
sudo reboot

6. Mercurial
Sudo apt-get install -y mercurial

7. Deep Belief SDK
• Clone this repository https://github.com/jetpacapp/DeepBeliefSDK
into ~/projects/DeepBeliefSDK
sudo apt-get install git
git clone https://github.com/jetpacapp/DeepBeliefSDK.git

8. Eigen
• Eigen is a C++ template library for linear algebra: matrices, vectors,
numerical solvers, and related algorithms.
hg clone https://bitbucket.org/eigen/eigen
ln -s ~/eigen ~/DeepBeliefSDK/eigen

9. Installing GCC-4.8 & G++-4.8
sudo apt-get install gcc-4.8 g++-4.8
sudo rm -rf /usr/bin/gcc
sudo rm -rf /usr/bin/g++
sudo ln -s /usr/bin/gcc-4.8 /usr/bin/gcc
sudo ln -s /usr/bin/g++-4.8 /usr/bin/g++

10. Building Time
cd ~/DeepBeliefSDK/source
make clean
#Building to the Target pi2 for Raspberry pi 2 and pi for older.
make GEMM=eigen TARGET=pi2
#Trying an Example :
./jpcnn -i data/dog.jpg -n ../networks/jetpac.ntwk -t -m s -d

11. Nano source/src/lib/pi/mailbox.cpp
Change to the following Line !
#define MAJOR_NUM 249
sudo rm -rf /var/lib/jpcnn/
Ensure that you’re under source/ folder
Sudo cp libjpcnn.so /usr/lib/
Sudo cp src/include/libjpcnn.h /usr/include
Can't open device file: /var/lib/jpcnn/char_dev

12. Thank you :D