$
$ pip install hyperdash
$ hyperdash signup
$ hyperdash run -n "MNIST" \
python mnist.py
Iter 1280, Loss= 1.576423, Acc= 0.51562
Iter 2560, Loss= 1.450179, Acc= 0.53906
Iter 3840, Loss= 1.160066, Acc= 0.64844
Iter 5120, Loss= 0.898589, Acc= 0.73438
Iter 6400, Loss= 0.685712, Acc= 0.75781
Iter 7680, Loss= 1.085666, Acc= 0.64844
$ hyperdash run -n "MNIST RNN" python mnist.py
Iter 1280, Loss= 1.576423, Accuracy= 0.51562
Iter 2560, Loss= 1.450179, Accuracy= 0.53906
Iter 3840, Loss= 1.160066, Accuracy= 0.64844
Iter 5120, Loss= 0.898589, Accuracy= 0.73438
Iter 6400, Loss= 0.685712, Accuracy= 0.75781
Iter 7680, Loss= 1.085666, Accuracy= 0.64844
In [13]:from hyperdash import monitor_cell
In [14]:%%monitor_cell "MNIST RNN"
with tf.Session() as sess:
sess.run(init)
step = 1
# ...