Deep Learning: A Hands-On Approach
This three week online experience will enable you to articulate concepts, algorithms, and tools to build intelligent systems while formulating various supervised and unsupervised models. You’ll be able to apply practical skill sets on designing, deploying, and analyzing deep network architectures on complex real-world problems.
Program topics include big data preprocessing and handling, deep neural network design and optimization, image classification with convolutional neural nets, sequence modeling with recurrent neural nets, generative learning with generative adversarial nets, and deploying deep learning models to scale.
Participants
This program is intended for individuals with working knowledge of Python as well as a strong foundation in mathematical concepts such as: variables, linear equations, graphs of functions, histograms, and statistical means.