API Dataset di TensorFlow recensioni

Vikram M. · Recensione inserita oltre 2 anni fa

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. · Recensione inserita oltre 2 anni fa

Olha B. · Recensione inserita oltre 2 anni fa

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

ep m. · Recensione inserita oltre 2 anni fa

Alejandro A. · Recensione inserita oltre 2 anni fa

Adán T. · Recensione inserita oltre 2 anni fa

Santosh S. · Recensione inserita oltre 2 anni fa

Rafael G. · Recensione inserita oltre 2 anni fa

Stepan G. · Recensione inserita oltre 2 anni fa

Pablo Leonardo L. · Recensione inserita oltre 2 anni fa

Tomas B. · Recensione inserita oltre 2 anni fa

Sonali R. · Recensione inserita oltre 2 anni fa

Николай К. · Recensione inserita oltre 2 anni fa

Gaurav P. · Recensione inserita oltre 2 anni fa

Tejas T. · Recensione inserita oltre 2 anni fa

Siwatchara S. · Recensione inserita oltre 2 anni fa

Sharad Kumar G. · Recensione inserita oltre 2 anni fa

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. · Recensione inserita oltre 2 anni fa

Walter D. · Recensione inserita oltre 2 anni fa

Alfredo B. · Recensione inserita oltre 2 anni fa

Marc N. · Recensione inserita oltre 2 anni fa

W T. · Recensione inserita oltre 2 anni fa

Anagha B. · Recensione inserita oltre 2 anni fa

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. · Recensione inserita oltre 2 anni fa

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. · Recensione inserita oltre 2 anni fa