Entry-Level Machine Learning: Image Generation Interview Q&A

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Mastering Image Generation Techniques for Machine Learning Interviews

1 - 01 Image Generation Machine Learning Interview Questions

1 - 01 What is discriminative modeling

1 - Interview-Source-Files.zip

2 - 02 What is generative modeling

2 - 02 Diffusion Deep Learning Interview Questions

3 - 01 What are diffusion models

4 - 02 How diffusion works in deep learning

5 - 03 Forward and backward diffusion in ML

6 - 04 What is a UNet ML model

3 - 02b Stable Diffusion Interview Questions

7 - 01 Steps of latent reverse diffusion in Stable Diffusion

8 - 02 What is latent space

9 - 03 What is the manifold hypothesis in ML

4 - 03 Dimensionality Reduction Data Science Interview Questions

10 - 01 What is dimensionality reduction

11 - 02 What is principal component analysis

5 - 04 Autoencoder Machine Learning Interview Questions

12 - 01 What are Autoencoders

13 - 02 What are encoders and decoders in ML

14 - 03 How do Autoencoders work

15 - 04 What are Variational Autoencoders

16 - 05 What is a Vector Quantized Variational Autoencoder

6 - 05 GAN Neural Network Interview Questions

17 - 01 What is the structure of a Generative Adversarial Network

18 - 02 What are discriminators and generators

19 - 03 What is zeroshot learning

7 - 06 Scoring Interview Questions

20 - 01 What is Inception Score

21 - 02 What is Frechet Inception Distance

22 - 03 How FID Works in ML

23 - 04 What is Kernel Inception Distance

8 - 07 Signal Processing Interview Questions

24 - 01 What is TimeSeries data

25 - 02 What is signal data

26 - 03 Continuous signals vs discrete signals

27 - 04 What is Nyquist rate

9 - 08 Fourier Analysis Interview Questions

28 - 01 What are periodic signals

29 - 02 What is Fourier Transform

30 - Bonus Lecture.html

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تولید کننده: Udemy