Question 58
You are working on a Neural Network-based project. The dataset provided to you has columns with different ranges. While preparing the data for model training, you discover that gradient optimization is having difficulty moving weights to a good solution. What should you do?
- A. Use feature construction to combine the strongest features.
- B. Use the representation transformation (normalization) technique.
- C. Improve the data cleaning step by removing features with missing values.
- D. Change the partitioning step to reduce the dimension of the test set and have a larger training set.
References