Batching for a non-image data set with Tensorflow

I am a beginner in tensorflow. I have a data set with 43 inputs and one output. I am gonna create a mini-batch of the data to run deep learning.

Here are my inputs:

x = tf.placeholder(tf.float32, shape=[None, 43])
y_ = tf.placeholder(tf.float32, shape=[None])

which I am feeding them from a matlab file, looking:

train_mat = train_mat["binary_train"].value
feed_dict={x:Train[0:100,0:43] , y_:Train[0:100,43]}

I am gonna have random batch instead of calling 0:100 records. I saw

tf.train.batch

but, I could not realize how does it work. Could you please guide me how I can do that.

Thanks, Afshin