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These are deep learning notes which will enhance your deep learning knowledge, Lecture notes of Machine Learning

Dr. A.P.J. Abdul Kalam UniversityMachine Learning

There are lot of deep learning topics I have mentioned in it. Some of the topics are so much well elaborated which makes it more easy to understand

Typology: Lecture notes

2019/2020

Uploaded on 09/21/2023

ansh-sharma-7
ansh-sharma-7 🇮🇳

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bg1
Department of Computer Science and Engineering
Course: Bachelor in Technology Branch: CSE Sec: A, B, C, D, E, F, G
Session: 2023-2024 (Odd Semester)
Assignment – 01
Subject (Code): Deep Learning (KCS078) Year/Sem: 4th / 7th
S.No.
Questions CO BL
1. Discuss the back propagation with its algorithm.
CO1
K2
2. Explain the classes of problems in machine learning. CO1
K2
3. Explain the concept of perceptron.
CO1
K2
4. Describe the basic component of neural network. CO1
K2
5. Is it possible to build deep learning models based solely on linear regression? Explain. CO1
K2
6. Discuss about SVM with algorithm.
CO1
K2
7. Explain the difference between Gradient Descent and Stochastic Gradient
Descent. CO1
K2
8. List and describe Loss Function and Cost Functions. Explain the key Difference
Between them. CO1
K2
9. Differentiate between supervised and unsupervised machine learning. CO1
K2
10. Write the applications of Machine Learning. CO1
K2
pf2

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Download These are deep learning notes which will enhance your deep learning knowledge and more Lecture notes Machine Learning in PDF only on Docsity!

Department of Computer Science and Engineering

Course: Bachelor in Technology Branch: CSE Sec: A, B, C, D, E, F, G

Session: 2023-2024 (Odd Semester)

Assignment – 01

Subject (Code): Deep Learning (KCS078) Year/Sem: 4th / 7th S.No. Questions CO BL

  1. Discuss the back propagation with its algorithm.

CO1 K

Explain the classes of problems in machine learning. CO

K

  1. Explain the concept of perceptron.

CO1 K

  1. Describe the basic component of neural network. CO

K

  1. Is it possible to build deep learning models based solely on linear regression? Explain. CO

K

  1. Discuss about SVM with algorithm.

CO1 K

Explain the difference between Gradient Descent and Stochastic Gradient Descent.

CO

K

List and describe Loss Function and Cost Functions. Explain the key Difference Between them. CO

K

  1. Differentiate between supervised and unsupervised machine learning. CO1 K
  2. Write the applications of Machine Learning. CO

K

Department of Computer Science and Engineering

Course: Bachelor in Technology Branch: CSE Sec: A, B, C, D, E, F, G

Session: 2023-2024 (Odd Semester)

Assignment – 02

Subject (Code): Deep Learning (KCS078) Year/Sem: 4th / 7th S.No. Questions CO BL

  1. Write the history of Deep Learning.

CO2 K

  1. Demonstrate deep learning. Explain its uses, application and history.

CO2 K

  1. Differentiate among AI, Machine Learning, and Deep Learning? CO

K

  1. Explain purpose of a convolution layer in a Convolution Neural Network (CNN). CO2 K
  2. What are the advantages of deep networks?

CO2 K

  1. Explain the Semi-supervised learning.

CO2 K

  1. Draw and explain the architecture of Convolution Networks.

CO2 K

  1. Explain the use of deep learning in today's age, and how is it adding data scientists? CO

K

  1. Describe the architecture and applications of a Generative Adversarial Network (GAN). CO2 K
  2. Write the difference between convolution neural network and deep convolution neural network.

CO

K