NASNet

Deprecated for now, see Keras Models for working NASnet example.

• Based on NASnet Keras
• Google NASNet Blog
• Inception Keras
• Keras Weights

Install:

sudo pip install -U pip
sudo pip install tensorflow

sudo apt update 
sudo apt install python-dev 
sudo pip install keras

sudo pip install h5py imageio 

Performance:

wget https://github.com/EN10/BuildTF/raw/771df48529285c69ef760327121e996750b3916e/tensorflow-1.4.0-cp27-none-linux_x86_64.whl    
sudo pip install --ignore-installed --upgrade tensorflow-1.4.0-cp27-none-linux_x86_64.whl

FloydHub

Run:

python predict.py

Error:

The TensorFlow library was compiled to use AVX2 instructions, but these aren't available on your machine.

AVX2 flag missing from your CPU.

less /proc/cpuinfo 

Info

c9 Disk Usage Before:

du -hd1 /
54M     /home
2.0G	/usr

Data downloaded to ~/.keras

c9 free supports: 1GB RAM & 5GB HDD