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Deep Learning Study Guide for CA3 Exam

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1. Artificial Neural Networks (ANN)

• Definition: A network of interconnected nodes (neurons) inspired by the human brain.
• Structure:
  • Input Layer: Receives data
  • Hidden Layers: Perform computations
• Output Layer: Produces results

Mystify7777

Machine Learning CA3 Exam Preparation Guide

Table of Contents

1. Supervised Learning
2. Unsupervised Learning
3. Classification Algorithms
4. Clustering Algorithms
5. Errors in Machine Learning
6. Numerical Examples
7. Practice Problems

Mystify7777

g=0
while True:
    print("Welcome to the Guessing game. \n Game - #", g+1)

    # Guessing game.

    while True:
        k = input("Enter the number to be guessed.\n")
        try:
            K = int(k)

Mystify7777

#Guess the number advanced.

while True:

    k = int(input("Enter the number to be guessed.\n"))
    print("Type 'start' to start the game  or type anything else to reset the number.")
    s = str(input())
    if s == "start":
        break
    else: continue