Bank Defaulters using ANN
- Offered byGreat Learning
Bank Defaulters using ANN at Great Learning Overview
Bank Defaulters using ANN
at Great Learning
Duration | 1 hour |
Total fee | Free |
Mode of learning | Online |
Difficulty level | Beginner |
Official Website | Explore Free Course  |
Credential | Certificate |
Bank Defaulters using ANN at Great Learning Highlights
Bank Defaulters using ANN
at Great Learning
- Earn a certificate of completion
Bank Defaulters using ANN at Great Learning Course details
Bank Defaulters using ANN
at Great Learning
What are the course deliverables?
- ANN Model
- Keras
- Python
- Weights
- Biasis
- Activation
- Back Propagation
More about this course
- The Artificial Neural Network (ANN) is a data-processing paradigm inspired by the brain
- An ANN is designed for a given purpose, such as pattern recognition or data classification, through a learning process
- Learning entails making changes to the synaptic connections between neurons
- Keras is a neural network library written in Python that runs on top of Theano or Tensorflow
- Keras just offers a high-level API, whereas it has both a low-level and a high-level API
- We will study a few principles like ANN Architecture, Weights, Biasis, Activation Functions, Back Propagation, and more in this video, as well as see demonstrations with examples
Bank Defaulters using ANN at Great Learning Curriculum
Bank Defaulters using ANN
at Great Learning
Objective of The Course
Architecture of ANN
Weights , Biasis and Activation Functions
Loss Functions in Neural Networks
Back Propagation in Neural Networks
Gradient Descent
Keras Basic ANN Architecture - Demo
Dataset Overview and Model Framework
ANN Application Credit Data - Demo
What is Dead Neuron Problem?
Is Scaling necessary?
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