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Excellent feedback! Thank you so much!

• wibr 10y ago
  Just FYI, there are still a few typos in the sample pdf, I think a spell checker might be useful? "A neural network learns a function. This might seem confusing since I just told you that it is a funtion. However, every neural network starts out predicting randomly. In other words, our starting weight values are random... thus our function predicts randomly. It's a random function. As you may remember from the previous chapter, a neural network learns how to take an input dataset and convert it into an output dataset. For example, it might take an input dataset of Farenheit temperatures and learn to convert it into an output dataset of Celsius temperatures. It might covert a pixel values dataset" funtion, Farenheit, covert Edit: "We just take each weight... compute its affect on the error... and move it in the right direction so that the error goes down (to 0)." affect vs effect