Chapter 3 - Building a Deep Neural Network with PyTorch

1. What is the issue if the input values are not scaled in the input dataset?
   It takes longer to adjust weights to optimal value because input values vary so widely when they are unscaled
2. What could be the issue if the background has a white pixel color while the content has a black pixel color when training a neural network?
   The neural network has to learn to ignore a majority of the not so useful content that is white in color
3. What is the impact of batch size on the model's training time, accuracy over a given number of epochs?
   The larger the batch size more is the time taken to converge and more iterations required to attain a high accuracy
4. What is the impact of the input value range on weight distribution at the end of the training?
   If the input value is not scaled to a certain range, certain weights can aid in over-fitting
5. How does batch normalization help in improving accuracy?
   Just like how it is important that we scale...