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  3. Deep Learning

Deep Learning

Through our guided lectures and labs, you'll first learn Neural Networks, and an overview of Deep Learning, then get hands-on experience using TensorFlow library to apply deep learning on different data types to solve real world problems.

ABOUT THIS LEARNING PATH

In this learning path, you will be able to learn the basic concepts of Deep Leaning and TensorFlow. Then, you will get hands-on experience in solving problems using Deep Learning. Starting with a simple “Hello Word” example, throughout the course you will be able to see how TensorFlow can be used in curve fitting, regression, classification and minimization of error functions. This concept is then explored in the Deep Learning world. You will learn how to apply TensorFlow for backpropagation to tune the weights and biases while the Neural Networks are being trained. Finally, the course covers different types of Deep Architectures, such as Convolutional Networks, Recurrent Networks and Autoencoders.

TELL YOUR FRIENDS

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AUDIENCE:

Anyone interesting in analysis of data

LEARNING PATH LEVEL:

Advanced

3 BADGES

3 COURSES

Deep Learning Courses

Deep Learning Fundamentals Image

Deep Learning Fundamentals

About the course
This free course presents a holistic approach to Deep Learning and answers fundamental questions about what Deep Learning is and why it matters.
  • Effort: 3 hours
  • Delivery Format: Any time, Self-paced
  • Language: EN
  • Organization: DeepLearning.TV
  • Course code: ML0115EN
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Deep Learning with TensorFlow Image

Deep Learning with TensorFlow

About the course
Majority of data in the world are unlabeled and unstructured data, for instance images, sound, and text data. Shallow neural networks cannot easily capture relevant structure in these kind of data, but deep networks are capable of discovering hidden structures within these data. In this course, you will use TensorFlow library to apply deep learning on different data types to solve real world problems.
  • Effort: 3 hours
  • Delivery Format: Jan. 1, 2020
  • Organization: IBMDeveloperSkillsNetwork
  • Course code: ML0120ENv3
Learn more
Accelerating Deep Learning with GPUs Image

Accelerating Deep Learning with GPUs

About the course
Training complex deep learning models with large datasets takes along time. In this course, you will learn how to use accelerated GPU hardware to overcome the scalability problem in deep learning.
  • Effort: 4 - 5 hours
  • Delivery Format: Feb. 8, 2021
  • Organization: IBMDeveloperSkillsNetwork
  • Course code: ML0122ENv3
Learn more

Complete The Deep Learning Learning Path

BADGE: Deep Learning

Our learning paths are designed to build on the content learned in the first course and then build upon the concepts in courses that follow. We recommend that they are completed in the order outlined in this learning path to ensure you get the most out of your investment of time. If you like what you see here, come and discover other learning paths and browse our course catalog.

How To Obtain Badge Html

  • Step 1: Enrol in every course above.
  • Step 2: Successfully pass and receive a certificate for each of the courses.
  • Step 3: Return here and click the button below to request your badge.
  • Step 4: Visit your email to accept your badge.

Deep Learning

This badge earner understands the main concepts of Neural networks. The individual knows which network is used to tackle a problem, and can implement different shallow and deep networks with TensorFlow.

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