1. The Deep Learning Series: What is Deep Learning?
Understanding what Deep Learning is all about.
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In this series, we will cover Deep Learning. We will cover topics like: What is Deep Learning? The anatomy of a neural network. The applications of deep learning and it’s algorithms and much more.
In the past decade, AI is all the hype. Machine Learning, Deep Learning and AI are used left and right without any differenciator and it is something that is used in our daily lives most of the times without us even knowing about it!
When we think of AI, we think about our promised future: Self driving cars, chatbots better than humans and virtual assistants that you can have a conversation with. It is also painted as a grim future — a one where humans will lose jobs and/or we will be controlled by robots. For us, as people at the forefront of AI it is neccessary to differenciate between the noise and focus on making ethical strides in a technology that has the possibility of changing our lives.
This series is for anyone interested in Deep Learning. You don’t need to be a MLE but the prequisties would require having a basic knowledge of Linear Algebra, a programming language (pref: Python) and that’s it.
We will use Keras, Python and Jupyter Notebooks for this series. Along the way, We will code out a few projects and all articles are supplemented with code as needed.
The Mathematical blocks of Neural Nets
Anatomy of neural networks
Fundaments of Machine Learning
Deep Learning for:
Generative Deep Learning
Understanding what Deep Learning is all about.
A brief introduction to the history of Machine Learning.
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Cracking the behavioral and coding interview.
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A guide that helps you maximize your offer.
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