Neural Networks in Python: Deep Learning for Beginners

Neural Networks in Python: Deep Learning for Beginners

Learn Artificial Neural Networks (ANN) in Python. Build predictive deep learning models using Keras & Tensorflow| Python



Sub Category

  • Data Science

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Objectives

  • Get a solid understanding of Artificial Neural Networks (ANN) and Deep Learning
  • Understand the business scenarios where Artificial Neural Networks (ANN) is applicable
  • Building a Artificial Neural Networks (ANN) in Python
  • Use Artificial Neural Networks (ANN) to make predictions
  • Learn usage of Keras and Tensorflow libraries
  • Use Pandas DataFrames to manipulate data and make statistical computations.


Pre Requisites

  1. Students will need to install Python and Anaconda software but we have a separate lecture to help you install the sameS


FAQ

  • Q. How long do I have access to the course materials?
    • A. You can view and review the lecture materials indefinitely, like an on-demand channel.
  • Q. Can I take my courses with me wherever I go?
    • A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!



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