Deep Learning Professional Certificate

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.
Filter Courses within "Deep Learning Professional Certificate" (Click to filter)
Applied Deep Learning Capstone Project (edX) EdX
IBM

Applied Deep Learning Capstone Project (edX)

Dive into the world of applied deep learning with this comprehensive capstone course. Gain hands-on experience as you tackle a real-world problem using advanced techniques in neural networks. This course will guide you through loading and preprocessing data, building your own Deep Learning models, and validating their effectiveness.

Self Paced
Self-Paced
Deep Learning with Python and PyTorch (edX) EdX
IBM

Deep Learning with Python and PyTorch (edX)

Dive into the world of advanced deep learning with our expert-led course, 'Deep Learning with Python and PyTorch'. This course is designed to build upon your foundational knowledge in PyTorch, equipping you with the skills to construct sophisticated deep neural networks and train them using state-of-the-art methodologies. Whether you're a data scientist, machine learning enthusiast, or AI developer, this course will empower you to create and deploy complex models that can tackle real-world challenges.

Self Paced
Self-Paced
Deep Learning with Tensorflow (edX) EdX
IBM

Deep Learning with Tensorflow (edX)

Dive into the world of Deep Learning with Tensorflow and learn how to harness the potential of deep neural networks for solving complex, real-world problems involving unstructured data like images, sound, and text. This course will guide you through the fundamentals and applications of deep learning, enabling you to unlock new insights from vast datasets.

Self Paced
Self-Paced
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