IT & Software Path

Introduction to Neural Nets

5.7k+ Enrolled
Self - Paced Advanced Programmes
5 Modules
Introduction to Neural Nets

What you will learn

1
"Understanding of basic neural network and neurons
2
Understanding different layers involved in CNNs - Convolution Layer
3
Pooling Layer
4
Activation Layer
5
Dropout Layer
6
Fully Connected Layer

Mastery & Benefits

Learn step by step all the mathematical calculations involving artificial neural networks
Implement neural networks in Python and Numpy from scratch
Understand concepts like perceptron
activation functions
back propagation gradient | descent | learning rate and others
Build neural networks applied to classification and regression tasks
Implement neural networks using libraries such as: Pybrain | sklearn | TensorFlow and PyTorch"
Introduction to Neural Nets | Flipped.ai