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Artificial Intelligence with Python - Deep Neural Networks [Video]

More Information
  • Build applications based on deep learning algorithms
  • Detect and track objects using different algorithms
  • Learn how reinforcement learning works

The course is an introduction to the basics of deep learning methods. We will start with object detection and tracking, in which we will track faces, objects and eyes. We will then build a neural network and an OCR. We will then learn how to build learning agents that can learn from interacting with the environment. We will use Deep Learning with Convolutional Neural Networks, and use TensorFlow to build neural networks. We will then build an image classifier using convolutional neural networks.

Style and Approach

The video course is structured in such a way that the explanation of a concept is followed by a relevant example. Also, algorithms are explained and their respective code and training dataset is provided.

  • Learn the fundamentals of Deep Learning and use them to build intelligent systems
  • Solve real-world problems such as face detection, handwriting recognition, and more
  • Work with reinforcement learning, convolutional networks, and other deep learning concepts
Course Length 1 hour 19 minutes
Date Of Publication 30 Jan 2018


Prateek Joshi

Prateek Joshi is an artificial intelligence researcher, an author of eight published books, and a TEDx speaker. He has been featured in Forbes 30 Under 30, CNBC, TechCrunch, Silicon Valley Business Journal, and many more publications. He is the founder of Pluto AI, a venture-funded Silicon Valley start-up building an intelligence platform for water facilities. He graduated from the University of Southern California with a Master's degree specializing in Artificial Intelligence. He has previously worked at NVIDIA and Microsoft Research.