parth-verma

## Refer to http://caffe.berkeleyvision.org/installation.html
# Contributions simplifying and improving our build system are welcome!

# cuDNN acceleration switch (uncomment to build with cuDNN).
# USE_CUDNN := 1

# CPU-only switch (uncomment to build without GPU support).
CPU_ONLY := 1

# uncomment to disable IO dependencies and corresponding data layers

parth-verma

import tensorflow as tf
import numpy as np


tf.set_random_seed(1)

def generate_train_data(batch_size=64):
	indices = np.random.randint(4, size=batch_size)
	XOR_X = np.array([[0, 0], [0, 1], [1, 0], [1, 1]])
	XOR_Y = np.array([[0], [1], [1], [0]])

parth-verma

// Available variables:
// - Machine
// - interpret
// - assign
// - send
// - sendParent
// - spawn
// - raise
// - actions