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Quick Facts
| particular | details | |||
|---|---|---|---|---|
|
Medium of instructions
English
|
Mode of learning
Self study
|
Mode of Delivery
Video and Text Based
|
Course and certificate fees
Type of course
Free
certificate availability
Yes
certificate providing authority
Great Learning
The syllabus
History behind neural networks
Relationship between biological neuron and artificial neuron
Perceptron and working mechanism
Architecture of artificial neural network
Types of activation functions
Softmax function
Forward propagation
Loss function
Demo using keras framework
Back propagation and gradient descent
Tensorflow 2.0
Demo on MNIST data set
Instructors
Mr Mukesh Rao
Professor
Great Learning
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