All Questions
Tagged with tf.keras tensorboard
17
questions
20
votes
5
answers
22k
views
How to graph tf.keras model in Tensorflow-2.0?
I upgraded to Tensorflow 2.0 and there is no tf.summary.FileWriter("tf_graphs", sess.graph). I was looking through some other StackOverflow questions on this and they said to use tf.compat.v1.summary ...
- 417
9
votes
1
answer
4k
views
Use TensorBoard with Keras Tuner
I ran into an apparent circular dependency trying to use log data for TensorBoard during a hyper-parameter search done with Keras Tuner, for a model built with TF2. The typical setup for the latter ...
- 14.6k
6
votes
1
answer
2k
views
WARNING:tensorflow:`write_grads` will be ignored in TensorFlow 2.0 for the `TensorBoard` Callback
I am using the following lines of codes to visualise the gradients of an ANN model using tensorboard
tensorboard_callback = tf.compat.v1.keras.callbacks.TensorBoard(log_dir='./Graph', histogram_freq=...
- 147
3
votes
0
answers
191
views
More elegant way of displaying distributions and activations in TensorBoard
Keras's Tensorboard callback has a write_images and a histogram_freq argument that allows the weights and activations to be saved to Tensorboard to visualize during training.
The issue is, this saves ...
- 157
3
votes
0
answers
897
views
Display currently used batch (input images, predictions) on tensorboard when using model.fit() with tf.Dataset in Tensorflow 2
I am training a deep network implementing the tf.keras.Model API using tf.keras.Model.fit() (Tensorflow 2.0) to segment images. The input data comes from a dataset using tf.data.TFRecordDataset. Thus, ...
- 63
2
votes
1
answer
455
views
Running model.fit() and TensorBoard at the same time?
I have an interesting (for me) question about running model.fit() and tensorboard at the same time.
I did some research on internet about "Threading", "Processing", "Multi-processing", tried ...
2
votes
0
answers
363
views
How to prune weights in Tensorflow CNN model (Without migrating model to Keras)
I have a TF CNN model and now I want to use the weight pruning API of tensor flow with this but all the examples I checked online, it works only with Keras model
I want to prune wights of my ...
- 31
1
vote
2
answers
3k
views
Failed to load Tensorboard
ERROR: Failed to launch TensorBoard (exited with 1).
Contents of stderr:
Traceback (most recent call last):
File "/home/arshad/anaconda3/bin/tensorboard", line 10, in
sys.exit(run_main())
...
- 23
1
vote
0
answers
327
views
Tensorboard page is empty
I'm using tensorflow 2.4.1 and tensorboard 2.4.1 in centos 6.5
I'm trying to track a keras model undergoing training using a tensorboard call back, but I'm always getting a blank page when I start the ...
- 93
1
vote
2
answers
4k
views
history=model.fit_generator() Why is keras history empty?{}
I can't obtain history from model.fit_generator()
net_history=densenet_model.fit_generator(
generator=train_loader,
steps_per_epoch=len(train_dataset),
max_queue_size=500,
workers=1,
...
- 41
1
vote
0
answers
423
views
I'm struggling to implement tensorboard monitoring into the Mask_RCNN training process
I've been using the balloon.py example script in the Matterport Mask R-CNN repo [https://github.com/matterport/Mask_RCNN/blob/master/samples/balloon/balloon.py] for learning how to implement ...
- 21
1
vote
0
answers
209
views
How to compute gradients w.r.t weights in tf.keras and logging the same for gradients monitoring on tensorboard?
I'm actually working on basic GANs using TF keras, here I use train_on_batch method for training generator and discriminator alternatively which has no callbacks parameter for writing tensorboard logs ...
- 71
1
vote
0
answers
160
views
Keras) How to get input and output image from callback to visualize in tensorboard
First of all,
I must use the function fit_generator() , model.fit_generator(...)
In this situation, I have to visualize the input image and output image by tensorboard.
Even though I use the ...
- 2,430
0
votes
1
answer
110
views
Specifying separate tf.summary file_writers for training and validation
I would like to visualize some scalars such as Train loss, val loss (among others) as my training progresses. I am using tf.Keras with tf2.3. However I am unable to specify separate filewriters for ...
- 23
0
votes
1
answer
396
views
ValueError: Output tensors of a Functional model must be the output of a TensorFlow `Layer` when using custom callback to plot conv layer feature maps
I'm trying to implement a custom callback to get the feature maps of each Conv2D layer in the network plotted in TensorBoard.
When I run the code in Example 1 I get the following error:
<ipython-...
- 2,283
-1
votes
1
answer
144
views
Tensorflow / Tensorboard missing output from one of hparams during profiling
TF / TB running a profile with the following setup :
HP_NUM_NODES_ONE = hp.HParam('nodes_one', hp.Discrete([128]))
HP_NUM_NODES_TWO = hp.HParam('nodes_two', hp.Discrete([64, 128, 256]))
...
- 1,571
-1
votes
1
answer
145
views
Long waiting when running training model with ML
I have trouble for long waiting when I run my training model with Machine Learning using CNNs. Maybe this because my pc has such a bad specs for machine learning.
I have 50000 images for my X_training ...
- 1