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Deep Learning Fundamentals

Posted By Cluzter Ops3     October 1, 2020     184 views     1 like    
Cognitive Class is powered by the technology and content provided by the IBM Developer Skills Network. IBM Developer Skills Network is a recognized source of top-quality courses on topics including artificial intelligence (AI), machine learning, data science, big data, analytics, databases, cloud...  more

Overview

ABOUT THIS COURSE

Get a crash course on the what there is to learn and how to go about learning more. Deep Learning presents a simplified explanation of some of the hottest topics in data science today:



  • What is Deep Learning?



  • What are are convolutional neural networks?



  • Why is deep learning so powerful and what can it be used for?



  • Be part of a rapidly growing field in data science; there's no better time than now to get started with neural networks



COURSE SYLLABUS



  • Module 1 - Introduction to Deep Learning

    1. Why Deep Learning?

    2. What is a neural network?

    3. Three reasons to go Deep

    4. Your choice of Deep Net

    5. An old problem: The Vanishing Gradient





  • Module 2 - Deep Learning Models

    1. Restricted Boltzmann Machines

    2. Deep Belief Nets

    3. Convolutional Networks

    4. Recurrent Nets





  • Module 3 - Additional Deep Learning Models

    1. Autoencoders

    2. Recursive Neural Tensor Nets

    3. Deep Learning Use Cases





  • Module 4 - Deep Learning Platforms and Software Libraries

    1. What is a Deep Learning Platform?

    2. H2O.ai

    3. Dato GraphLab

    4. What is a Deep Learning Library?

    5. Theano

    6. Caffe

    7. TensorFlow




GENERAL INFORMATION



  • This course is free.

  • It is self-paced.

  • It can be taken at any time.

  • It can be audited as many times as you wish


RECOMMENDED SKILLS PRIOR TO TAKING THIS COURSE



  • Knowledge of Machine Learning concepts

  • Machine Learning with Python


REQUIREMENTS
Knowledge of Machine Learning concepts