HRDF Course Deep Learning for Beginners
Details
Deep Learning Studio by Deep Cognition is a easy to use AI development and deployment platform for beginners. It is the first robust deep learning platform with a visual interface. The platform provides a comprehensive solution to data ingestion, model development, training, deployment and management. Deep Learning Studio users have the ability to quickly develop and deploy deep learning solutions through robust integration with TensorFlow, MXNet and Keras. Easy to use drag and drop editor helps you build deep learning models without coding.
The topics includes
- Machine Learning
- Deep Learning
- Deep Learning Studio
- Handwritten Digit Classifcation
- Image Classification
- Sentimental Analysis
- Topic Modeling
Outline
Module 1 Overview of Machine Learning and Deep Learning
- What is Machine Leanring?
- Real Life Applications of Machine Learning
- Types of Machine Learning
- What is Neural Network
- What is Deep Learning
- Machine Learning vs Deep Learning
Module 2 Deep Learning Studio Desktop
- Install Deep Learning Studio Desktop
- Exploring Deep Learning Studio Desktop Interface
Module 3 HandWritten Digit Classification
- MNIST Handwritten Digit Dataset
- MNIST Classification with Feedforward Neural Nework
- What is Convolutional Neural Network (CNN)
- MNIST Classification with CNN
Module 4 Image Classification
- CIFAR10 Image Dataset
- CIFAR10 Classification with Feedforward Neural Nework
- CIFAR10 Classificatio with CNN
Module 5 Sentimental Analysis
- IMDB Movie Review Dataset
- What is Recurrent Neural Network (RNN)
- What is Long Short Term Memory (LSTM)
- IMDB Sentimental Analysis with LSTM RNN
Module 6 Topic Modeling
- Reuters Newswire Dataset
- Reuters Topic Modeling with LSTM RNN
Speaker/s
Dr. Aanand is a Full Stack Data Scientist who once had a torrid love affair with Physics. He has consulted and published in the area of Public Health, Electricity Markets, Telecom, BFSI, Advertising & Communication Strategies and Digital & Social Media Technologies. He has worked on assignments with international agencies such as International Monetary Fund, World Bank, Royal Netherland Embassy etc. besides MNCs like Tata Consultancy Services, Kie Square Consulting and several government organizations of national importance.
He regularly conducts general training programs in Python (Pandas, NumPy, SciPy, Matplotlib, Bokeh), R (dplyr, rstanarm, knitR, ggplot2), Data Visualization (Tableau, D3.js) and Machine Learnng (Reinforced Learning, Scikit Learn) and specialized training programs on Structural Equation Modeling and SAP Hana.
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