API Dataset do TensorFlow avaliações

Jan K. · Revisado há over 2 years

Rohith Kumar B. · Revisado há over 2 years

Sergyi H. · Revisado há over 2 years

Vikram M. · Revisado há over 2 years

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. · Revisado há over 2 years

Olha B. · Revisado há over 2 years

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

ep m. · Revisado há over 2 years

Alejandro A. · Revisado há over 2 years

Adán T. · Revisado há over 2 years

Santosh S. · Revisado há over 2 years

Rafael G. · Revisado há over 2 years

Stepan G. · Revisado há over 2 years

Pablo Leonardo L. · Revisado há over 2 years

Tomas B. · Revisado há over 2 years

Sonali R. · Revisado há over 2 years

Николай К. · Revisado há over 2 years

Gaurav P. · Revisado há over 2 years

Tejas T. · Revisado há over 2 years

Siwatchara S. · Revisado há over 2 years

Sharad Kumar G. · Revisado há over 2 years

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. · Revisado há over 2 years

Walter D. · Revisado há over 2 years

Alfredo B. · Revisado há over 2 years

Marc N. · Revisado há over 2 years

W T. · Revisado há over 2 years