Internship

It is an academic internship, which is a hands-on guided experience in an academic environment to hone industry-relevant skills and knowledge in a chosen domain with mentorship and training byindustry experts

UP-SKILL NEURAL NETWORK FROM SCRATCH - INTERNSHIP

1. Introduction
1. What/Why is Artificial Intelligence?
2. Getting Started!
3. Setting up environment
2. Python Basics
3. Numpy & Pandas Basics
4. Visualization Techniques using Pandas
5. Machine Learning Basics
6. Neural Network Fundamentals
1. Neurons
2. Layers
3. Activation Functions
4. Weights and Bias
5. Weight Computations
6. Back Propagation
7. Optimization and Gradients
7. Creating a Data Classifier with Neural network
1. Prediction of Diabetes with Neural Network
2. Hyper parameter Tunings
3. Optimizing and creating visualizers for finding the best model

1. CNN
1. Introduction to Convolution Neural Network
2. Convolutions, Pooling Operations
3. Creating image Classifier with CNN
4. Transfer Learning
2. RNN
1. Introduction to RNN, LSTM, GRU
2. Creating Sentiment Analysis
3. Predictive Failure analysis with Multimodal time series data
3. Object Detection
1. Object detection basics
2. Creating custom object detection using yolo
4. Creating Face Recognition and Mask Detection

Pre-requisite –      1. Knowledge in programming (any language)
2. Basic idea on excel, plotting, web contents, inter-process.
3. Patience and a Pinch of Creativity.
4. Basics of Machine Learning

System Requirement –     1. I3 or relevant Processor
2. Internet connectivity