What Will You Learn?
In this crash course, you will quickly grasp the fundamentals of Deep Learning, exploring key topics in data science such as the essence of Deep Learning, the significance of convolutional neural networks, and the versatile applications of deep learning. Join the rapidly expanding field of data science and kickstart your journey into neural networks with a simplified explanation, providing an ideal starting point for those eager to delve into this dynamic and influential domain.
About This Course
Provider: Cognitiveclass
Format: Online
Duration: 3 hours to complete [Approx]
Target Audience: Beginners
Learning Objectives: By the end, you will have a foundational understanding of Deep Learning, convolutional neural networks, and their powerful applications in data science.
Course Prerequisites: NA
Assessment and Certification: NA
Instructor: Cognitiveclass
Key Topics: Data Science, Machine Learning, Deep Learning
Topic Covered:
- - Deep Learning Concepts
- - What is a neural network?
- - Why Deep Learning?
- - How to choose between deep neural networks?
- - An old problem: The Vanishing Gradient
- - Restricted Boltzmann Machines
- - Deep Belief Networks
- - Deep Learning Concepts Continued
- - Convolutional Networks
- - Recurrent Nets
- - Autoencoders
- - Recursive Neural Tensor Nets
- - Deep Learning Use Cases
- - Platforms for Deep Learning
- - What is a Deep Learning Platform?
- - H2O.ai
- - Dato GraphLab
- - Deep Learning Software Libraries
- - What is a Deep Learning Library?
- - Theano
- - Deeplearning4j
- - Torch
- - Caffe
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