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Library Management System - A Complete Solution for Libraries
The Library Management System is a robust and feature-rich web application built using Python (Django) with SQLite as its database.
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Python Tkinter Entry Widget – A Complete Guide
The Python Tkinter Entry Widget is used to create a single-line text box where users can enter input. It is commonly used for forms,
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IN vs EXISTS in SQL: A Complete Guide
IN vs EXISTS in SQL When writing SQL queries to filter data, one of the most frequently asked questions by developers is the difference between
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FullStack Ecommerce App – A Complete Solution
FullStack Ecommerce App An Ecommerce app where users can purchase products using their Stripe card. Users can explore the website freely but
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Python Tkinter Frame Widget
Python Tkinter Frame Widget Python's Tkinter Frame widget is a fundamental tool for organizing multiple widgets in a structured manner.
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A Dynamic Web Application for Online Restaurant Management
Online Restaurant Management is a powerful and user-friendly web application designed for restaurants to showcase their menu,
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33%
a) NumPy
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b) Pandas
33%
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d) TensorFlow
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a) Complex syntax
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b) Large community and extensive libraries
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c) High memory consumption
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67%
a) Requires more training data
33%
b) Reduces training time by using pre-trained models
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c) Always increases model size
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d) Eliminates the need for a neural network
Which Python library provides efficient tensor computations and is widely used in AI research?
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0%
a) Pandas
50%
b) NumPy
50%
c) PyTorch
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d) SciPy
What is the main purpose of reinforcement learning in AI?
Anonymous Quiz
33%
a) Supervised learning with labeled data
67%
b) Learning by interacting with the environment and receiving rewards
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Understanding SQL DELETE Statement with Example
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SQL DELETE ROW: How to Remove Records from a Table
SQL DELETE ROW In SQL, the DELETE statement is used to remove existing records from a table. It is crucial to use this statement
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b) OpenCV
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25%
d) Reinforcement learning for game AI
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Anonymous Quiz
33%
a) Sigmoid
67%
b) ReLU
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c) Softmax
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d) Linear
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Anonymous Quiz
50%
a) Increasing the number of layers
50%
b) Using dropout regularization
0%
c) Reducing dataset size
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d) Using only training data