The majority of data in the world is unlabeled and unstructured, for instance, images, sound, and text data. Shallow neural networks cannot easily capture relevant structures within this type of data, but deep networks are capable of discovering the hidden structures. With the help of various frameworks we can build neural networks that allow us to demystify various use cases based on various industries and predict outcomes, thus they have now become an integral part of our day to day lives. 

As a follow-up to our Your Path to AI series which was conducted in 2020, we are now conducting Your Path to Deep Learning. A series which is mainly focused on the fundamentals of deep learning and with this series you will get an understanding of deep learning concepts, deep learning architectures, a comparison of deep learning frameworks and you will build various deep learning models throughout the series for linear and logistic regression, recurrent neural networks and Restricted Boltzmann Machines.

• Sign up or Log in to your IBM Cloud account at https://ibm.biz/YourPathToDeepLearning
• Must have some programming experience, preferably in Python
• Some prior knowledge of Machine Learning & AI would be preferred. You can brush up on your basics in a course like this: https://course.elementsofai.com/

• 23rd August - 6PM-8PM (GST)

  • User Reviews Sentiment Analysis using Logistic Regression
  • https://www.crowdcast.io/e/ypdl-1

• 25th August - 6PM-8PM (GST)

  • Identify Handwritten Digits using Convolutional Neural Networks with TensorFlow
  • https://www.crowdcast.io/e/ypdl-2

• 30th August - 6PM-8PM (GST)

  • Language Processing using Recurrent Neural Networks with TensorFlow
  • https://www.crowdcast.io/e/ypdl-3

• 1st September - 6PM-8PM (GST)

  • Personalized Recommendation Engines with TensorFlow
  • https://www.crowdcast.io/e/ypdl-4