Importing and Preparing a Dataset for Neural Networks

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Let's start with implementing your first neural network using Python and Keras on a Jupyter Notebook. In this section, we will import and prepare the data on which we will train our neural network. Make sure you have followed the previous lesson and have everything set up correctly!

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COURSES:

  1. Mısra Turp
  2. machine learning
  3. data science
  4. deep learning
  5. artificial intelligence
  6. python
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Are you planning to produce videos using Pytorch? That would be outstanding!!!

lakeguy
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Each photo in the MNIST dataset has 784 features and each feature shares a common range of 0 to 255. My understanding is that features whose values are vastly different should be scaled / standardized or normalized. Why scale the input features from 0 to 1? If you pass the output through a sigmoid function in the last step, won't that scale the output to between 0 & 1? (Great videos!, I'm learning a lot!!!)

lakeguy