This program is an introduction to concepts and applications in Deep Learning, including various kinds of Neural Networks for supervised and unsupervised learning.
The students will learn about:
fundamental concepts of Deep Learning, including various Neural Networks for supervised and unsupervised learning,
building, training, and deploying different types of Deep Architectures, including Convolutional Networks, Recurrent Networks, and Autoencoders,
application of Deep Learning to real-world scenarios such as object recognition and Computer Vision, image and video processing, text analytics, Natural Language Processing, recommender systems, and other types of classifiers,
Master Deep Learning at scale with accelerated hardware and GPUs,
using of popular Deep Learning libraries such as Keras, PyTorch, and Tensorflow applied to industry problems.
- Website: https://www.edx.org/professional-certificate/deep-learning
- Download the fiche here.