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

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John Bura,Mammoth Interactive

1:07:30

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  • 1 - 01 What is discriminative modeling.mp4
    00:54
  • 1 - Interview-Source-Files.zip
  • 2 - 02 What is generative modeling.mp4
    01:04
  • 3 - 01 What are diffusion models.mp4
    01:03
  • 4 - 02 How diffusion works in deep learning.mp4
    02:11
  • 5 - 03 Forward and backward diffusion in ML.mp4
    01:46
  • 6 - 04 What is a UNet ML model.mp4
    01:24
  • 7 - 01 Steps of latent reverse diffusion in Stable Diffusion.mp4
    01:38
  • 8 - 02 What is latent space.mp4
    03:09
  • 9 - 03 What is the manifold hypothesis in ML.mp4
    01:33
  • 10 - 01 What is dimensionality reduction.mp4
    01:42
  • 11 - 02 What is principal component analysis.mp4
    01:10
  • 12 - 01 What are Autoencoders.mp4
    01:33
  • 13 - 02 What are encoders and decoders in ML.mp4
    02:07
  • 14 - 03 How do Autoencoders work.mp4
    02:24
  • 15 - 04 What are Variational Autoencoders.mp4
    02:53
  • 16 - 05 What is a Vector Quantized Variational Autoencoder.mp4
    01:39
  • 17 - 01 What is the structure of a Generative Adversarial Network.mp4
    04:11
  • 18 - 02 What are discriminators and generators.mp4
    03:52
  • 19 - 03 What is zeroshot learning.mp4
    02:50
  • 20 - 01 What is Inception Score.mp4
    03:26
  • 21 - 02 What is Frechet Inception Distance.mp4
    03:52
  • 22 - 03 How FID Works in ML.mp4
    01:42
  • 23 - 04 What is Kernel Inception Distance.mp4
    00:56
  • 24 - 01 What is TimeSeries data.mp4
    01:34
  • 25 - 02 What is signal data.mp4
    03:35
  • 26 - 03 Continuous signals vs discrete signals.mp4
    03:07
  • 27 - 04 What is Nyquist rate.mp4
    01:36
  • 28 - 01 What are periodic signals.mp4
    01:46
  • 29 - 02 What is Fourier Transform.mp4
    06:53
  • 30 - Bonus Lecture.html
  • Description


    Mastering Image Generation Techniques for Machine Learning Interviews

    What You'll Learn?


    • Master the technique of reshaping image data to prepare it for processing by neural networks
    • Acquire the skills to calculate Kernel Inception Distance (KID)
    • Develop proficiency in building convolutional neural networks (CNNs) using the Keras framework, a fundamental tool for image processing tasks
    • Learn the principles and techniques involved in building diffusion models for image generation, exploring their applications and capabilities
    • Gain hands-on experience in generating images using diffusion models, applying learned concepts to create visually compelling outputs
    • Understand the process of training and visualizing image generation models, enabling you to effectively optimize and interpret model performance

    Who is this for?


  • Absolute Beginners
  • What You Need to Know?


  • Beginner experience with ChatGPT
  • Access to a ChatGPT account on web or app
  • Internet connection
  • No Installation required
  • More details


    Description

    Prepare for entry-level machine learning interviews with a focus on image generation techniques through the comprehensive course "Entry-Level Machine Learning: Image Generation Interview Q&A" This course is tailored to equip you with the knowledge and confidence needed to excel in interviews by covering a wide range of essential topics related to image generation and machine learning.


    The curriculum is structured into a series of modules, each dedicated to specific interview question categories.


    In the first module, you'll dive into Image Generation Machine Learning Interview Questions, covering fundamental concepts and techniques in image generation.


    Next, explore Diffusion Deep Learning Interview Questions, including Stable Diffusion Interview Questions, to understand the nuances of diffusion models for image synthesis.


    Then, delve into Dimensionality Reduction Data Science Interview Questions, Autoencoder Machine Learning Interview Questions, and GAN Neural Network Interview Questions to deepen your understanding of key concepts in data preprocessing and generative modeling.


    Further, explore Scoring Interview Questions, Signal Processing Interview Questions, and Fourier Analysis Interview Questions, gaining insights into evaluation metrics and signal processing techniques essential for image analysis and generation.


    By the end of this course, you'll be well-prepared to tackle machine learning interviews, armed with a comprehensive understanding of image generation concepts and techniques. Join us and take the first step towards a successful career in machine learning and artificial intelligence.

    Who this course is for:

    • Absolute Beginners

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    John Bura is has been a successful Udemy instructor since 2011. John Bura has been programming games since 1997 and teaching since 2002. John is the owner of the game development studio Mammoth Interactive. This company produces XBOX 360, iPhone, iPad, android, HTML 5, ad-games and more. Mammoth Interactive recently sold a game to Nickelodeon! John has been contracted by many different companies to provide game design, audio, programming, level design and project management. To this day John has 40 commercial games that he has contributed to. Several of the games he has produced have risen to the top 10 in the Apple's app store. In his spare time John likes to play ultimate Frisbee, cycle and work out.
    Mammoth Interactive
    Mammoth Interactive
    Instructor's Courses
    Mammoth Interactive is a leading online course provider in everything from learning to code to becoming a YouTube star. Mammoth Interactive courses have been featured on Harvard’s edX, Business Insider and more.Over 11 years, Mammoth Interactive has built a global student community with 1.1 million courses sold. Mammoth Interactive has released over 250 courses and 2,500 hours of video content.Founder and CEO John Bura has been programming since 1997 and teaching since 2002. John has created top-selling applications for iOS, Xbox and more. John also runs SaaS company Devonian Apps, building efficiency-minded software for technology workers like you."I absolutely love this course. This is such a comprehensive course that was well worth the money I spent and a lot more. Will definitely be looking at more Mammoth Interactive courses when I finish this." – Student Matt W."Very good at explaining the basics then building to more complex features." – Student Kevin L.Try a course today.
    Students take courses primarily to improve job-related skills.Some courses generate credit toward technical certification. Udemy has made a special effort to attract corporate trainers seeking to create coursework for employees of their company.
    • language english
    • Training sessions 29
    • duration 1:07:30
    • Release Date 2024/07/23