Deep Learning and Neural Networks for Financial Engineering
Intermediate
Online
7 Weeks
62,443 INR Quick Facts
| Medium Of Instructions | Mode Of Learning | Mode Of Delivery |
|---|---|---|
| English | Self Study | Video and Text Based |
Courses and Certificate Fees
| Certificate Availability |
|---|
| no |
The Syllabus
- Guided entry for students who have not taken the first course in the series
- Notational conventions
- Basic ideas: linear regression, classification
- Recipe for Machine Learning
- Neural Networks Overview
- Coding Neural Networks: Tensorflow, Keras
- Practical Colab
- A neural network is a Universal Function Approximator
- Convolutional Neural Networks (CNN): Introduction
- CNN: Multiple input/output features
- CNN: Space and time
- Recurrent Neural Networks (RNN): Introduction
- RNN Overview
- Generating text with an RNN
- Back propagation
- Vanishing and exploding gradients
- Initializing and maintaining weights
- Improving trainability
- How big should my Neural Network be ?
- Interpretation: Preview
- Transfer Learning
- Tensors, Matrix Gradients
- Gradients of an RNN
- RNN Gradients that vanish and explode
- Residual connections
- Neural Programming
- LSTM
- Attention: introduction
- Neural Language Processing (NLP)
- Interpretation: what is going on inside a Neural Network
- Attention
- Adversarial examples
- Final words
Instructors
Articles
27 Sep'23, 06:16 PM
28 Sep'21, 06:54 AM
27 Sep'23, 06:16 PM
27 Sep'23, 06:16 PM
28 Sep'21, 06:54 AM