There are many: tensorflow/contrib/eager/python/examples/gan/mnist.py, tensorflow/contrib/eager/python/examples/gan/mnist_graph_test.py tensorflow/contrib/eager/python/examples/linear_regression/linear_regression.py tensorflow/contrib/eager/python/examples/notebooks/3_datasets.ipynb
Is it only just me.? I find tf.data has terrible documentation n so difficult to use:/
The tf.records used to be far worse.
Very difficult
Yes it is very abstract. Not properly documented.
I have just tried it today. It's amazing for me. I like the powerful operators they have on tf data. I think its really neat.
Yeah, this is probably written by engineers who love OOP everything rather than by data scientists who like simple api with clear documentation.
Great speaker, speech is very easy to follow, and doesn't sound complicated at all
how this can be used with data stored in folders other than tfrecords?
I hope tf could provide a tool to determine the bottle neck during the training
5:30
Very humble and willing to learn. Another TensorFlow video watched.
Thanks sir
Thanks god
How come something simple like tf.data.import_file : "file name" ......done.....
Hello guys, Do you know where can I find the example of using tf.data ? I have checked the tensorflow repository but I couldn't find.
There are many:
tensorflow/contrib/eager/python/examples/gan/mnist.py,
tensorflow/contrib/eager/python/examples/gan/mnist_graph_test.py
tensorflow/contrib/eager/python/examples/linear_regression/linear_regression.py
tensorflow/contrib/eager/python/examples/notebooks/3_datasets.ipynb
Is the slides available publicly? Where could I download it?
docs.google.com/presentation/d/16kHNtQslt-yuJ3w8GIx-eEH6t_AvFeQOchqGRFpAD7U/edit#slide=id.g254d08e080_0_349
Not easy, skip this😅
Is it applicable for tf 2.0 ??
excellent
Good tutorial for tf.data api, thks
Absolutely brilliant.
Am new, is this a replacement for pandas?
no it is a replacement for other types of reading input data. Old ways are Feeding and QueueRunner.
so helpful
Good tutorial
Tensorflow is good!