Introduction to Neural Nets | Data Science

Category : IT & Software

Price : $ 50

Instructor : Flipped by GAIUS

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WHAT WILL THE CANDIDATE LEARN ?

˙ "Understanding of basic neural network and neurons

˙ Understanding different layers involved in CNNs - Convolution Layer

˙ Pooling Layer

˙ Activation Layer

˙ Dropout Layer

˙ Fully Connected Layer

BENEFITS OF THE COURSE :

˙ 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"

This is a Self-placed accelerated programme :

Complete The Course At Your own Pace
Multiple Assessments Throughout The Video Lectures
Get Certificate Of Completion