Hands-on artificial intelligence

What you will learn

• Fundamental concepts of Deep Learning, including various Neural Networks for supervised and unsupervised learning.
• Build, train, and deploy 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.
• Use of popular Deep Learning libraries such as Keras, PyTorch, and Tensorflow applied to industry problems.