Network (CNN) | Azure
September 23, 2020 by Akshay Tondak 4 Comments
Machine learning is a subset of Artificial Intelligence. It tells us
something unique about our data without writing a bunch of code specific to
the problem. We just feed our data in Azure ML service. In this blog, we
will cover the basics of the Convolutional Neural Network (CNN) and how
we train our CNN’s model on Azure ML service without knowing to code.
Why Azure ML Service?
In today’s scenario, many companies struggle to adopt the ML solution
because data engineers face slow training and complex deployment. Azure
ML service removes those barriers.
Azure ML service is a powerful drag and drop interface. where we go from
idea to deployment in a few clicks without additional setup required.
Also Read : Our Blog Post To Know About Most Important DP- 100 FAQ
Overview Of Convolutional
Neural Network (CNN)
We mostly use CNN’s in Computer Vision for Image Classification, object
detection, and Neural Style Transfer.
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Problem: Images can be big. with 1000 hidden units we need a lot of space.
Solution: Use CNN’s, it’s like scanning over your image with a filter.
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What Are Convolutional Neural
CNN’s are a specific type of artificial neural network.
CNN’s works well with matrix inputs, such as images.
There are various kinds of the layer in CNN’s: convolutional layers, pooling
layers, Dropout layers, and Dense layers.
CNN’s real-world applications: Detecting Handwritten Digits, AI-based
robots, virtual assistants, NLP, Electromyography recognition, Drug
discovery, Time series forecasting, and self-driving cars.
Do Check : What is the difference in Data Science vs Data Analytics vs
In CNN’s we use Convolutional layers which consist of a set of learnable