1A .Fundamental deep learning with python



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1A .Fundamental deep learning with python

What is deep learning?

— Deep learning is the subset of methods for machine learning, which is a field dedicated to the study of machines that can learn. For example:

  • Using the pixels of an image to detect the presence or absence of a cat.
  • Using the movies you have liked to predict more movies you like.
  • Using someone’words to predict whether they’re happy or sad.
  • Using weather sensor data to predict probability of rain.
  • Using car engine sensors to predict the optimal tunning settings.
  • Using news data to predict tomorrow’s stock price.
  • Using a raw audio file to predict s transcipt of the audio.

you should remember deeply 3 things is important in deep learning:

  • Weights(W, w, weights, …), set weights in (0, 1).
  • Predictions(y_pred, y’, …).
  • Input(X, x, input, X_train, X_test, X_val…).

if you don’t know python programing. you should learn study carefully python (more than 3 months) before drive into deep learning

1.Make a neural prediction: forward propagation.

  • Let’s start with the simplest neural network possible (1 inputs and 1 prediction).

you can open jupyter notebook and run the code:

AI/ML

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