DataHour: Deep Learning - Maths Behind Back-Propagation
DataHour: Deep Learning - Maths Behind Back-Propagation
16 Jul 202208:07am - 16 Jul 202209:07am
DataHour: Deep Learning - Maths Behind Back-Propagation
About the Event
Deep Learning is being used for modeling complex data like language, images, sequence etc. While we have many packages like Keras, Tensorflow which democratize deep learning architecture, we need to understand the mathematics behind the process.
In this DataHour, we will try to understand each step of forward-propagation and back-propagation in detail. We will apply formulas at each layer to see how data flows from one input layer to output layer. In back propagation we will apply calculus to see how gradients are used to update the weights. This will give a good understanding of the full cycle.
Prerequisites: Enthusiasm for learning Data Science and Deep Learning.
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- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
Who is this DataHour for?
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
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