This was what i was waiting for a long time before switching back to keras again ! I have been asking this question here and there all over the internet lol. Now here we go ! Thanks!
Hi tensorflow team, I tried the examples, but train_ds = tfds.load('imdb_reviews', split=['train'], as_supervised=True) train_ds = train_ds.batch(8) gives an error "' list' object has no attribute 'batch' ". Any idea why?
Could you give the link of the code and the presentation. Also is there a website where I can find these resources. Is there any I can get certified by TensorFlow that I know this library? I am a junior in university trying to learn machine learning
Before making my comments I really want to stress that everything you've said in this video are valid and useful - but for someone who probably has had prior training and knowledge of the subject matter. The dialogue in your video is akin to a conversation between Google engineers working in a team developing some sort of API, all fully immersed in the context and possessing multifaceted knowledgeable about the problem and solution domains. Almost everyone in Tensorflow and Keras teams make those assumptions and quite frankly the usefulness of their tutorials end after the initial introduction. Try anther video without those assumption and for someone who may not be fully aware of everything to do with Tensorflow Libraries or Keras API exposing those libraries' functions. Then I'll be the first to subscribe.
This is totally the norm for any sort of technical documentation. It's written by experts, who no longer remember what neophytes do not know. The Keras and TF documentation is among the worst for assuming everyone is an expert already.
Is it only the “adapt” function that isn’t good for large datasets or is it all preprocessing using keras layers? If the preprocessing layers aren’t supposed to be used for large datasets I have to wonder what’s the point??
Hi tensorflow team , i want implant nn.parameter functionality with keras and tensorflow. Can you give some suggestions to how used keras and tensorflow as nn.parameter in my code.
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It could be helpful to explain how to build a preprocessing layer with different preprocessing for each feature.
At 8:21, usually we have a `def __call__(self, ...)` , but here I see `def call(self, ...)`
Overall, excellent presentation 👍
This was what i was waiting for a long time before switching back to keras again ! I have been asking this question here and there all over the internet lol. Now here we go ! Thanks!
That's amazingly cool! Thanks!
that's great explanation! thank you
Hi tensorflow team,
I tried the examples, but
train_ds = tfds.load('imdb_reviews', split=['train'], as_supervised=True)
train_ds = train_ds.batch(8)
gives an error "' list' object has no attribute 'batch' ". Any idea why?
Looks like the object is a list of dataset instead of being a dataset.
Try: train_ds = train_ds[0]
i had the same issue , while trouble shooting i found that
split=['train'] was issue. Changed it to 'train' (without array) and it worked
Could you give the link of the code and the presentation. Also is there a website where I can find these resources. Is there any I can get certified by TensorFlow that I know this library? I am a junior in university trying to learn machine learning
Before making my comments I really want to stress that everything you've said in this video are valid and useful - but for someone who probably has had prior training and knowledge of the subject matter. The dialogue in your video is akin to a conversation between Google engineers working in a team developing some sort of API, all fully immersed in the context and possessing multifaceted knowledgeable about the problem and solution domains. Almost everyone in Tensorflow and Keras teams make those assumptions and quite frankly the usefulness of their tutorials end after the initial introduction. Try anther video without those assumption and for someone who may not be fully aware of everything to do with Tensorflow Libraries or Keras API exposing those libraries' functions. Then I'll be the first to subscribe.
This is totally the norm for any sort of technical documentation. It's written by experts, who no longer remember what neophytes do not know. The Keras and TF documentation is among the worst for assuming everyone is an expert already.
Can I use a normalization layer as an output layer ?
Is it only the “adapt” function that isn’t good for large datasets or is it all preprocessing using keras layers? If the preprocessing layers aren’t supposed to be used for large datasets I have to wonder what’s the point??
Yes, it's only the adapt function
@@lgmuk thanks, that’s good. What’s the best way to still use the keras preprocessing layers while needing to transform in beam?
@@greedybuddha795 Maybe use TF Tranform. That's projected for bigger pipelines and infrastructure
Where can i find the slides for reference?
How can I get these slides? Thanks.
Hi tensorflow team , i want implant nn.parameter functionality with keras and tensorflow. Can you give some suggestions to how used keras and tensorflow as nn.parameter in my code.
I'd ask this on the TensorFlow Forum. It's much easier to get answers there.
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