Deep Learning on Azure with Python: Introduction to Deep Learning
- Offered byFutureLearn
Deep Learning on Azure with Python: Introduction to Deep Learning at FutureLearn Overview
Deep Learning on Azure with Python: Introduction to Deep Learning
at FutureLearn
Duration | 4 weeks |
Total fee | ₹900 |
Mode of learning | Online |
Official Website | Go to Website  |
Credential | Certificate |
Deep Learning on Azure with Python: Introduction to Deep Learning at FutureLearn Highlights
Deep Learning on Azure with Python: Introduction to Deep Learning
at FutureLearn
- Duration 4 weeks
- Weekly study 5 hours
- 100% online Try this course for free
Deep Learning on Azure with Python: Introduction to Deep Learning at FutureLearn Course details
Deep Learning on Azure with Python: Introduction to Deep Learning
at FutureLearn
Skills you will learn
More about this course
- In this hands-on introduction to deep learning, you will learn about different neural network types. You'll develop your understanding of key deep learning vocabulary, concepts, and algorithm, enabling you to understand how deep learning frameworks work.
- Deep learning is a highly advanced form of machine learning. At its core are deep learning neural networks, so-called because they are inspired by human learning and brain structures.
- Unlike most machine learning, deep learning frameworks can process data from unstructured sources. Text analytics, and image and video processing allow deep learning frameworks to acquire information as we do.
- Deep learning algorithms can be used for a range of purposes, automating functions that once would have required human understanding. These include customer service, translation, and image analysis. Deep learning models can even write news stories.
- You'll discover deep learning with Python programming. You will learn how to use Microsoft's Cognitive Toolkit (CNTK) to build end-to-end neural networks, on Microsoft Azure's cloud-based service.
- You'll build your skills and understanding in both the analysis and application of deep learning frameworks, including:
- multi-class Logistic Regression and MLP (Multi-Layered Perceptron)
- CNN (Convolution Neural Network) for text processing
- RNN (Recurrent Neural Network) to forecast time-series data
- LSTM (Long Short Term Memory) process sequential text data
- You'll then move on to explore how to build end-to-end models using one or several of these neural networks to recognize hand-written digits.
Deep Learning on Azure with Python: Introduction to Deep Learning at FutureLearn Curriculum
Deep Learning on Azure with Python: Introduction to Deep Learning
at FutureLearn
Course Introduction
About this Course
What is Deep Learning?
Introduction to Multi-class Classification Using Logistic Regression
Wrapping Up the Week
Multi-Class Classification and Multi-Layer Perceptron
CloudSwyft Hands-On Lab 1
Multi-Layer Perceptron
CloudSwyft Hands-On Lab 2
Wrapping Up the Week
Introduction to CNN, RNN and LSTM
Introduction to Convolution Neural Network - CNN
Building a Convolutional Network
CloudSwyft Hands-on Lab 3
Recurrent Neural Network (RNN)
Long Short Term Memory Block (LSTM)
Wrapping Up the Week
Text Classification with RNN and LSTM
CloudSwyft Hands-On Lab 4
Text Classification with RNN and LSTM
CloudSwyft Hands-on Lab 5
Wrapping up the course
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