Introduction to Convolution Neural Networks | Convolutional Neural Networks Explained | K21Academy

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๐‚๐จ๐ง๐ฏ๐จ๐ฅ๐ฎ๐ญ๐ข๐จ๐ง๐š๐ฅ ๐๐ž๐ฎ๐ซ๐š๐ฅ ๐๐ž๐ญ๐ฐ๐จ๐ซ๐ค

โžฝ The video will cover the concepts of Convolutional neural networks & Use Cases in which we have covered the concepts of Machine Learning Algorithms.

๐Ÿ‘‰๐—ช๐—ต๐—ฎ๐˜ ๐—œ๐˜€ ๐‚๐จ๐ง๐ฏ๐จ๐ฅ๐ฎ๐ญ๐ข๐จ๐ง๐š๐ฅ ๐๐ž๐ฎ๐ซ๐š๐ฅ ๐๐ž๐ญ๐ฐ๐จ๐ซ๐ค?
โœถ A convolutional neural network (CNN) is a type of artificial neural network used in image recognition and processing that is specifically designed to process pixel data.

โœถ CNNs are powerful image processing, artificial intelligence (AI) that use deep learning to perform both generative and descriptive tasks, often using machine vison that includes image and video recognition, along with recommender systems and natural language processing and so onโ€ฆ

Topics we will cover:
00:00- Introduction
00:31- Overview of Data Science, Deep Learning, Machine Learning And AI
01:58- What is Convolutional Neural Network
03:39- Object Tracking
04:06- OCR
05:54- Challenges In Image Processing
08:32- Biological Inspired
10:32- Type Of Neuron/Cells
14:09- Convolutional Neural Networks
16:25- Error Rates On Visual Recognition Challenge
17:49- VGG16
21:51- Binary Image
22:44- Grayscale Image
24:24- Convolutions
30:09- Stride
31:23- Padding
33:30- Lear Weights
36:30- Max Pooling
39:43- How to register for OUR FREE CLASS!

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