Deep Learning Essentials

This course is part of AI and Machine Learning Essentials with Python Specialization

Instructors: Chris Callison-Burch +1 more

What you'll learn

  •   Understand the history and context of the deep learning field, and explore what "intelligence" really means.
  •   Explore deep learning models like the perceptron, neural networks and backpropagation, and study the techniques that drive them.
  •   Code a project using Python where you will preprocess data and use your data to train a Support Vector Machine (SVM.)

    • Skills you'll gain

  •   Deep Learning
  •   Data Processing
  •   Machine Learning Algorithms
  •   Artificial Intelligence
  •   PyTorch (Machine Learning Library)
  •   Machine Learning
  •   Computer Vision
  •   Artificial Neural Networks

    • There are 4 modules in this course

    Delve into the history of deep learning, and explore neural networks like the perceptron, how they function, and what architectures underpin them. Complete short coding assignments in Python.

    Module 2: Perceptron, Stochastic Gradient Descent & Kernel Methods

    Module 3: Fully Connected Networks

    Module 4: Backpropagation

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