Convolutional Neural Network Tutorial (CNN) | How CNN Works | Deep Learning Tutorial | Simplilearn

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This Convolutional neural network tutorial (CNN) will help you understand what is a convolutional neural network, how CNN recognizes images, what are layers in the convolutional neural network and at the end, you will see a use case implementation using CNN. A CNN is also known as a ConvNet. Convolutional networks can also perform optical character recognition to digitize text and make natural-language processing possible on analog and hand-written documents. CNN can also be applied to sound when it is represented visually as a spectrogram. Now, let's deep dive into this video to understand what is CNN and how do they actually work.

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Below topics are explained in this CNN tutorial (Convolutional Neural Network Tutorial)
1. Introduction to CNN
2. What is a convolutional neural network?
3. How CNN recognizes images?
4. Layers in convolutional neural network
5. Use case implementation using CNN

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sir it was a great video and was extremely helpful for me to learn cnn from scratch

ankitbhardwaj

Hi, really a great tutorial on CNN, small doubt suppose i download a bird image from the net and reshape it into 32X32, how can i feed that into this model to get the classified value.

aaditya

greate tutorial, thank you very much! how to use CNN for face recognition please give me matlab code

najwameftah

Awesome Covers all my doubts in this lecture

animationawakened

HI simplilearn i found this video educated and relevant please can you let have the codes and other relevant materials for the lecture. please how can i process a sequence of geospatial images?

hassanmusa

thank you so much for the tutorial sir helped me a lot in understanding CNN.

patrickmatimbe

At 5:26, a = [5, 3, 7, 5, 9, 7] but in within the blue frame it shows a = [5, 3, 2, 5, 9, 7] ie the 3rd number is different. Is that a typo? if not, how did 7 change to 2?

meltjl

Hello how do we obatain the filters I mean how does backpropagation happens to get the best filter or weights please help I am not able to understand this

taran

Can you provide the dataset and notebook code to me

virus_syam

@12:20 What does negative pixels refer to, since the pixels are only 1 and 0?

jancirani

Great video. 27:55 that is an emu lol...

Laflamablanca

Thank You very much for a fantastic detailed CNN walkthrough. Would you mind sharing the code and dataset to my mailid. What are the other possible activation functions apart from RELu, Did I miss to notice the Filter Stride explanation.

mengop

I'm doing handwritten alphabet recognition using CNN.could you help me in this?

ashnafirdaus

where did "data_batch1" at 24:27 come from?? did i miss a part of a video??

lsagar

Hello. Excelente. Does the code run in tf 2?

hermesmorales

Hey thank you for this lecture! I’ve subscribed and liked! Anyway I can get the python file? That would really be appreciated!

GasparinPR

sir from where should i download dataset

dharavathsaiteja

Great lecture, Next week i will do a presentation about CNN on powerpoint can i use screen capture for some illustrations ?

woodruffshnibble

Dope tutorial. Is it possible to train and predict colors using convolutional neural networks??

Gopikha

Video is awesome to understand CNN, but in the practical part, the first 7 input and output is not there in the video. Kindly help me out, how to import data, from where data can be downloaded?

ritwiksinha

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But what is a convolution?