The document outlines the installation and setup process for using the Deep Belief SDK on Raspberry Pi, including configuring GPU memory and installing essential tools like Mercurial and Git. It details the steps to clone repositories, install the Eigen library, and build the Deep Belief SDK specifically for Raspberry Pi 2. Additionally, it provides commands for modifying files and ensuring the necessary device files are accessible.

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