Advanced Deep Learning with Neural Networks

Convolutional and Recurrent Neural Networks using TensorFlow

What's Inside

TensorFlow is an open source software library released by Google in 2015 to make it easier for developers to design, build, and train deep learning models. TensorFlow originated as an internal library that Google developers used to build machine learning models in-house but today, Tensorflow is popular the world over because of how easy and intuitive it is to use.

This course focuses on advanced techniques in Deep Learning, including two important classes of NN architectures - CNNs and RNNs.

CNNs or Convolutional Neural Networks are ideal for working with images, while RNNs or Recurrent Neural Networks are a cutting-edge tool in language-modeling and working with high-frequency data, such as in finance. In this course, we will study the theory and implementation of these in a great deal of detail.

Course Curriculum

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Janani Ravi

Loonycorn is comprised of a couple of individuals —Janani Ravi and Vitthal Srinivasan—who have honed their tech expertises at Google and Stanford. The team believes it has distilled the instruction of complicated tech concepts into funny, practical, engaging courses, and is excited to be sharing its content with eager students.

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