VisionNLP | Learn to Implement AI, Data Science

Course Description

Are you excited to know about how Self driving cars, Drones, Robots works? How computer vision, Image processing, Deep learning involved here? Computer Science is nothing but the analysis of Image and Video data using python frameworks such as TensorFlow, Pytorch, and keras. The most popular case studies of computer vision are Face recognition, OCR, Object Detection, Image captioning.

Course Description

Are you excited to know about how Self driving cars, Drones, Robots works? How computer vision, Image processing, Deep learning involved here? Computer Science is nothing but the analysis of Image and Video data using python frameworks such as TensorFlow, Pytorch, and keras. The most popular case studies of computer vision are Face recognition, OCR, Object Detection, Image captioning.

Introduction

What is Deep Learning?
Why Learn It?
What is a real life application of Deep Learning?

Image Data And Processing

Introduction to Computer Vision
What is Image Data
How computer read Image data
Basic OpenCV Functions
Image Processing using OpenCV and Python
Image Segmentation

Artificial Neural Network(ANN)

Convolution Neural Network (CNN)

Recurrent Neural Networks (RNN)

Why RNN?
Sequential Processing
One Layer of a Recurrent Neural Networks (RNN)
Problem of Long-Term Dependencies
Gated Nets (LSTM, GRU)
Application Of RNN
State of Art Models using RNN
RNN with Pytorch

Model Optimization

Case studies

Image Classification
Object Detection
Face recognition
Image captioning
Optical Character Recognition (OCR)

Key Features

End to end case studies

Build your portfolio

Mock interview

Q & A Session

Assignments

Certification and Job assistance