Deep Learning 13: Dynamic visualization of Linear Regression parameters using Tensor Board

Published: 06 December 2018
on channel: Ahlad Kumar

2,747

In this lecture we discuss how we can make decision about the correctness of the code by observing the parameter values of linear regression problem while running using Tensor Board.

(1) !wget https://bin.equinox.io/c/
4VmDzA7iaHb/ngrok-stable linux-amd64.zip

!unzip ngrok-stable-linux-amd64.zip

(2) LOG_DIR = './log'
get_ipython().system_raw(
'tensorboard --logdir {} --host 0.0.0.0 --port 6006 &'
.format(LOG_DIR)
)

(3) get_ipython().system_raw('./ngrok http 6006 &')

(4) ! curl -s http://localhost:4040/api/tunnels | python3 -c \
"import sys, json; print(json.load(sys.stdin)['tunnels'][0]['public_url'])"

#neural#regression#tensorboard

Watch video Deep Learning 13: Dynamic visualization of Linear Regression parameters using Tensor Board online without registration, duration hours minute second in high quality. This video was added by user Ahlad Kumar 06 December 2018, don't forget to share it with your friends and acquaintances, it has been viewed on our site 2,747 once and liked it 32 people.

1,864