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Fundamentals of Deep Learning and Neural Networks by upGrad
In this beginner-friendly course, you will learn about Artificial Neural Networks (ANNs). Explore the basics and key concepts of Deep Neural Networks.
Skills you will learn!
Curriculum
4 Topics
Neural Networks
Introduction to Perceptron
Percepton Training
Working of a Neuron
3 Topics
Info Flow Between 2 Layers
Inference in Neural Networks
Basic Image Recognition
4 Topics
Training a NN
Cost Function
Gradient Descent in NN
Backpropagation Algorithm
4 Topics
Regularization Strategies
Dropouts
Batch Normalisation
Building NN in Keras
5 Topics
Defining a Loss Function
Gradient Descent
AdaGrad
RMSProp
Adam
Fundamentals of Deep Learning and Neural Networks
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