I could pass the test with my code and the solution code however the next code block a

It's been a while so I hope this is helpful. input_idx</code

lab1 part 2: Batch definition to create training examples issue about introtodeeplearning HOT 1 OPEN

OnigiriJack commented on June 10, 2024

lab1 part 2: Batch definition to create training examples issue

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Comments (1)

brabiei21 commented on June 10, 2024

It's been a while so I hope this is helpful. input_idx and target_idx are floats so you need to cast them into integers.

for i, (input_idx, target_idx) in enumerate(zip(np.squeeze(x_batch), np.squeeze(y_batch))):
    input_idx = int(input_idx)
    target_idx = int(target_idx)
    print(input_idx, target_idx)
    print("Step {:3d}".format(i))
    print("  input: {} ({:s})".format(input_idx, repr(idx2char[input_idx])))
    print("  expected output: {} ({:s})".format(target_idx, repr(idx2char[target_idx])))

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lab1 part 2: Batch definition to create training examples issue about introtodeeplearning HOT 1 OPEN

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