Comments (3)
I was being dumb. After beating my head around documentation of TensorFlow for one day, I realized it was just there. But Thank You so much for quick response @aamini . It's an awesome course.
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Solutions for every lab (with filled #TODOs) are in the same directories labeled with *_solutions.ipynb
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No problem!
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Related Issues (20)
- Lab 1, Example song question
- lab1 part 2: Batch definition to create training examples issue HOT 1
- [lab3 part1] bias_wrapped_dense_NN.call error HOT 4
- Lab 2, Part 1, Section 1.4: Missing `from_logits=True` argument? HOT 2
- Lab 3 Part 2 resampling gives error HOT 2
- Lab3, Part1: ValueError: too many values to unpack (expected 2) HOT 3
- xtra_labs, autonomous_driving: Cannot open in Google Colab
- Lab3 part1 ensemble_NN.compile
- problem of mdl.lab3.plot_accuracy_vs_risk
- Lab 1 Defining a network layer - Assertion error HOT 3
- Lab 3 (Section 1.3) - Too Many Values to Unpack Error HOT 2
- Lab1 module 'mitdeeplearning' has no attribute 'lab1' HOT 1
- Lab1 Part1 issue with func(), HOT 1
- Lab3 Part2 Section3.4 AttributeError Problem
- Images not loading in lab python notebooks HOT 1
- Lab 3 dependency issue: capsa HOT 3
- From one day to the next Lab1 Music model load weight misinterprets shape. Serialization error?
- [Lab 1 Part 2] - Missing softmax argument in Dense layer
- Lab 3 missing
- Requesting to replace obsolete TensorFlow with PyTorch
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