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Fundamentals of Deep Learning of Neural Networks

In this beginner-friendly course,you will learn about the most sophisticated and cutting-edge models in machine learning - Artificial Neural Networks or ANNs. You will be introduced to the basics of Neural Networks and various concepts related to Deep Neural Network.

Program Overview

Key Highlights

Free and shareable certificate on completion
Free and shareable certificate on completion
100% self paced course
100% self paced course
Real time upskilling
Real time upskilling
28hrs short course
28hrs short course
Skills you will Gain: Architecture of Artificial Neural Network, Model Building, Data Manipulation, Training Neural Networks, Logical Reasoning
Skills you will Gain: Architecture of Artificial Neural Network, Model Building, Data Manipulation, Training Neural Networks, Logical Reasoning
Syllabus: Introduction to Perceptron, Wokring of a Neuron, Activation Functions, Flow of Information in Neural Networks, Feedforward Algorithm, Training a Neural Network, Sigmoid Backpropagation, Regularization, Dropouts, Batch Normalization, Introduction to Keras, Loss Function, Minibatch Gradient Descent, Momentum based methods, Vanishing and Exploiding Gradients
Syllabus: Introduction to Perceptron, Wokring of a Neuron, Activation Functions, Flow of Information in Neural Networks, Feedforward Algorithm, Training a Neural Network, Sigmoid Backpropagation, Regularization, Dropouts, Batch Normalization, Introduction to Keras, Loss Function, Minibatch Gradient Descent, Momentum based methods, Vanishing and Exploiding Gradients

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Fundamentals of Deep Learning of Neural Networks
Complete this course successfully to obtain this certificate from upGrad.
Fundamentals of Deep Learning of Neural Networks
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