TensorFlow Dataset API Reviews

Vikram M. · Reviewed מעל 2 שנים ago

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.

Charles B. · Reviewed מעל 2 שנים ago

Olha B. · Reviewed מעל 2 שנים ago

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

ep m. · Reviewed מעל 2 שנים ago

Alejandro A. · Reviewed מעל 2 שנים ago

Adán T. · Reviewed מעל 2 שנים ago

Santosh S. · Reviewed מעל 2 שנים ago

Rafael G. · Reviewed מעל 2 שנים ago

Stepan G. · Reviewed מעל 2 שנים ago

Pablo Leonardo L. · Reviewed מעל 2 שנים ago

Tomas B. · Reviewed מעל 2 שנים ago

Sonali R. · Reviewed מעל 2 שנים ago

Николай К. · Reviewed מעל 2 שנים ago

Gaurav P. · Reviewed מעל 2 שנים ago

Tejas T. · Reviewed מעל 2 שנים ago

Siwatchara S. · Reviewed מעל 2 שנים ago

Sharad Kumar G. · Reviewed מעל 2 שנים ago

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

Mika K. · Reviewed מעל 2 שנים ago

Walter D. · Reviewed מעל 2 שנים ago

Alfredo B. · Reviewed מעל 2 שנים ago

Marc N. · Reviewed מעל 2 שנים ago

W T. · Reviewed מעל 2 שנים ago

Anagha B. · Reviewed מעל 2 שנים ago

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!

Daniel S. · Reviewed מעל 2 שנים ago

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 )

Jasper v. · Reviewed מעל 2 שנים ago