about learning rate

[chencodeX]

In the second step of training, I used a smaller batch size, does that mean I need to use a smaller learning rate than 0.001?

[abhaydoke09]

This has some interesting discussions about batch_size vs learning_rate.
NVIDIA/DIGITS#51

[chencodeX]

Another problem, in the second step, when I use 224 * 224 * 3 size data to train, it will prompt me to be wrong:
Traceback (most recent call last):
File "bcnn_finetuning.py", line 374, in
val_loss += sess.run(loss, feed_dict={imgs: batch_val_x, target: batch_val_y})
File "/opt/anaconda2/lib/python2.7/site-packages/tensorflow/python/client/session.py", line 767, in run
run_metadata_ptr)
File "/opt/anaconda2/lib/python2.7/site-packages/tensorflow/python/client/session.py", line 965, in _run
feed_dict_string, options, run_metadata)
File "/opt/anaconda2/lib/python2.7/site-packages/tensorflow/python/client/session.py", line 1015, in _do_run
target_list, options, run_metadata)
File "/opt/anaconda2/lib/python2.7/site-packages/tensorflow/python/client/session.py", line 1035, in _do_call
raise type(e)(node_def, op, message)
tensorflow.python.framework.errors_impl.InvalidArgumentError: logits and labels must be same size: logits_size=[2,100] labels_size=[8,100]
[[Node: SoftmaxCrossEntropyWithLogits = SoftmaxCrossEntropyWithLogits[T=DT_FLOAT, _device="/job:localhost/replica:0/task:0/gpu:0"](Reshape_2, Reshape_3)]]

I'm sorry, I'm just a novice.

[abhaydoke09]

I think the problem is in the image size.
Look at this issue.
#5