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i need code for machine learning with some details explainations. Thank you so much! Classification is one of the most important tasks in machine learning.
i need code for machine learning with some details explainations. Thank you so much!
Classification is one of the most important tasks in machine learning. In this project you need to write a classification program that classifies between two sets of images - forest and desert The data provided with this project has the following paraters. There are two folders, Forest and Desert. Each folder contains 401 high quality annotated JPG images. Using one of the machine learning libraries, you need to create a program that correctly predicts what the image is. In addition, the program should be able to make a prediction when presented with an entirely new image. You can use TensorFlow, PyTorch or any other ML library to create this program "metadata": \{\} , "source": [ "\# Classification Forest vs Desert \ n", "In", "\#\# Background and Problem Statement , "sp>Classification is one of the most inportant tasks for Machine Learning In this project you have to write a classification program that classifies "\#\# Dataset)n", "p>The data provided with this project has following parameters. It has two folders Forest and Desert. Each folder has 401 high quality labelled JPG images. //. "In", "\#\# Algorithm|n", "spoUsing any of the Machine Learning Libraries you have to build a progran that correctly predicts which inage it is. Additionally if a coneletely nem inage is proyided to the procsan, it should be able to mate a pred icition. You can use Teusoflon, "\#\# Deliverables n ", "ln", "Program should be written in Python. 1n ", "A GUI would be preferable and would give you extra marks in evaluation, li > ln", "Program should present the accuracy and loss of the model.ln", "It should also present the metadata of the model e.g. number of layers, activation function etc. li >n ", "nt, "In", "You can follow any approach you want, but to give a general idea, following steps should give you general approach to start - l n", "In", "sin", "Normalize the data. Convert the pixels in numerical values, 2i>n ", "split the data in train testln", "start working with building model,s/li>ln", "ln", "visualize the result,s/li>", "} -source": [] is. Bi: :-kernelspec": \{ -display_name": "Python 3.10.1 64-bit", "language": "python", "nane": "python3" Hanguage_info": 1 -nace": "python", version": "3.10.1" "orignbfornat": 4 it: = vscode": 1 "hash": "369f2c481f1g'a34eunu5cda3fffd2e751bd1c4d706f27375911949ba6bb62elc" : Pribforat": 4 if orbformatininorw; 2 Type of file: JPGFile (.jpg) Opens with: = Photos Change... Location: D: IStudylME|ProjectlForestvsDesertlClassification For Size: 13:8 KB (14,183 bytes) Size on disk: 16:0KB(16,384 bytes ) Created: Tuesday, December 6,2022,8:47:44 PM Modified: Tuesday, January 31, 2023, 2:07:46 PM Accessed: Today, January 31,2023,2:51:31 PM Attributes: Read-only Hidden Security: This file came from another computer and might be blocked to help protect this computer. forest.0 Properties General Security Details Previous Versions Property Copyright Image Image 1D Dimensions Value Width =299 pixels: Height Horizontal resolution 96 dpi Vertical resolution 96dpi Bit depth 24 Compression Resolution unit Color representation Compressed bits/pixel Camera Camera maker Camera model F-stop Exposure time ISO speed Exposure bias Remove Properties and Personal InformationStep by Step Solution
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