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Deep learning can be a complex and daunting field for newcomers.

Concepts like hidden layers, convolutional neural networks, backpropagation keep coming up as you try to grasp deep learning topics. Most people are put off of the math alone.

Despite what you have been led to believe, you don’t need an advanced degree or a Ph.D. to learn and master deep learning.

There are certain key concepts you should know (and be well versed in) before you plunge too far into the deep learning world.

The five essentials for starting your deep learning journey are:

  1. Getting your system ready
  2. Python programming
  3. Linear Algebra and Calculus
  4. Probability and Statistics
  5. Key Machine Learning Concepts

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