TensorFlow Dataset API のレビュー

Maduskar Vikram · 2年以上前にレビュー済み

I had some difficulty following along with this lab since the previous lab exercise was not included in this course. I would recommend adding the first lab in that folder to the course since future labs reference it.

Beers Charles · 2年以上前にレビュー済み

Babich Olha · 2年以上前にレビュー済み

Need more clarity on where to run the commands - on Terminal or just click on the arrow of the instructions window?

m ep · 2年以上前にレビュー済み

Andrade Alejandro · 2年以上前にレビュー済み

Tinoco Adán · 2年以上前にレビュー済み

Senapati Santosh · 2年以上前にレビュー済み

Godoy Rafael · 2年以上前にレビュー済み

GOOGLEUSER Stepan · 2年以上前にレビュー済み

Lasso Mercado Pablo Leonardo · 2年以上前にレビュー済み

Bourdain Gama Tomas · 2年以上前にレビュー済み

Rai Sonali · 2年以上前にレビュー済み

Котсюк Николай · 2年以上前にレビュー済み

Pareek Gaurav · 2年以上前にレビュー済み

Tejas Tejas · 2年以上前にレビュー済み

Sukaew Siwatchara · 2年以上前にレビュー済み

Gangwar Sharad Kumar · 2年以上前にレビュー済み

quite messy unclear how to do tutorials with this part, and functions are not working as expected. lab task #2 --------------------------------------------------------------------------- AssertionError Traceback (most recent call last) Cell In[66], line 26 23 loss =loss_mse(X_batch, Y_batch, w0, w1) # TODO -- Your code here. 24 print(MSG.format(step=step, loss=loss, w0=w0.numpy(), w1=w1.numpy())) ---> 26 assert loss < 0.0001 27 assert abs(w0 - 2) < 0.001 28 assert abs(w1 - 10) < 0.001 AssertionError: part 4b AttributeError Traceback (most recent call last) Cell In[108], line 5 1 BATCH_SIZE = 2 3 tempds = create_dataset('../toy_data/taxi-train*', batch_size=2) ----> 5 for X_batch, Y_batch in tempds.take(2): 6 pprint({k: v.numpy() for k, v in X_batch.items()}) 7 print(Y_batch.numpy(), "\n") AttributeError: 'tuple' object has no attribute 'take' part 4c --------------------------------------------------------------------------- TypeError Traceback (most recent call last) Cell In[112], line 1 ----> 1 tempds = create_dataset('../toy_data/taxi-train*', 2, 'train') 2 print(list(tempds.take(1))) Cell In[111], line 6, in create_dataset(pattern, batch_size, mode) 2 def create_dataset(pattern, batch_size=1, mode='eval'): 3 dataset = tf.data.experimental.make_csv_dataset( 4 pattern, batch_size, CSV_COLUMNS, DEFAULTS) ----> 6 dataset = tf.data(pattern) # TODO -- Your code here. 8 if mode == 'train': 9 dataset = dataset.shuffle() # TODO -- Your code here. TypeError: 'module' object is not callable

Koistinen Mika · 2年以上前にレビュー済み

Diego Toribio Cosme Walter · 2年以上前にレビュー済み

Bustos Azócar Alfredo · 2年以上前にレビュー済み

Neveling Marc · 2年以上前にレビュー済み

Tang W · 2年以上前にレビュー済み

Basil Anagha · 2年以上前にレビュー済み

Sometimes during coding you just do not know what you have to do if you are not familiar with Tensorflow syntax. But still small enough steps to test and try!

Schubert Daniel · 2年以上前にレビュー済み

Good practice, some instructions could've been more clear ( e.g. about desired way of implementing things like filtering feature columns, buffer size for shuffling ). Also it instructed to set "batch_size, column_names and column_defaults" in the first create_dataset which apparently wasn't actually desired ( batch_size shouldn't be set yet, only in the second time, otherwise there'll be an assertion error as it's expecting just scalars in the aserts )

van den Berg Jasper · 2年以上前にレビュー済み