Finding the Best Classification Model | Best Classification Models

To build the best classification model, researchers have explored various deep learning techniques, with convolutional neural networks (CNNs) emerging as the best models for image classification tasks, particularly for multiclass classification problems. Python has become a popular choice for implementing the best classification models, including state-of-the-art CNN architectures that have demonstrated remarkable performance in image classification, making them the best neural network classifiers for this domain.

This tutorial composed of Two parts :

🔍 Explain of the process , the implementation , and the result

🛠️ Expain the code

You can download the code here : https://ko-fi.com/s/f42b06922e

More relevant content in this playlist : https://www.youtube.com/playlist?list=PLdkryDe59y4aCcCN4ioFpdLVAGZ_dFeFr

A perfect course for learning modern Computer Vision with deep dive in TensorFlow , Keras and Pytorch . You can find it here : http://bit.ly/3HeDy1V 
I also recommend this book, https://amzn.to/44GnlLW : "Make Your Own Neural Network - An In-depth Visual Introduction For Beginners ".
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00:00 Introduction 
00:12 The process 
04:31 The results
06:42 The code 
~~~~~~~~~~~~~~ Credits ~~~~~~~~~~~~~ 
Music by Vincent Rubinetti 
Download the music on Bandcamp: https://vincerubinetti.bandcamp.com/album/the-music-of-3blue1brown 
Stream the music on Spotify: https://open.spotify.com/album/1dVyjwS8FBqXhRunaG5W5u
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https://www.youtube.com/watch?v=k_nIU8Qo6l4