Image Generation with Diffusion Neural Network
Exploring Image Generation with Diffusion Neural Networks
Created by John Bura
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Skill level
All levels
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Sections
7
03
Lectures
25
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Instructor
John Bura
What's inside
This course includes.
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7
Sections
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25
Lectures
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25
Resources
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Certificate of completion
Included
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Mobile and desktop access
Included
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AI learning assistance
Included
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Course content
Curriculum & lectures.
+ 01 Reshape image data for NN 4 lectures
01 Load Flower Image Dataset In Colab
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02 Reshape Image Data With Python
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03 Preprocess Image Data With Python
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Source Files
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+ 02 Calculate Kernel Inception Distance 3 lectures
01 Calculate Kernel Inception Distance In Python
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02 Update Kernel State With Keras
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Source Files
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+ 03 Build downsampling and upsampling with Keras 3 lectures
01 Build Residual Block With Python
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02 Build Down And Up Blocks With Keras
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Source files
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+ 04 Build a CNN with Keras 3 lectures
01 Build Sinusoidal Embedding With Tensorflow
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02 Build A Cnn For Image Generation
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CNN Source Files
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+ 05 Build a diffusion model for image generation 5 lectures
01 Build A Diffusion Model For Image Generation
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02 Denoise Images In Python
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03 Build A Diffusion Schedule With Tensorflow
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04 Build Reverse Diffusion Algorithm
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Diffusion Source Files
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+ 06 Generate images with diffusion 4 lectures
01 Generate Images With Diffusion
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02 Build Training Step For Model
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03 Build Keras Model Test Step
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06 Source Files
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+ 07 Train and visualize image generation model 3 lectures
01 Run Model Training For Diffusion Image Generation
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02 Visualize Image Generation Results
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Source files
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Description
About this course.
**Welcome to the Course: Image Generation with Diffusion Neural Network**
Embark on an exciting journey into the world of image generation using cutting-edge techniques with this comprehensive course on Diffusion Neural Networks (DNN). Whether you are a machine learning enthusiast, a data scientist, or a developer keen on exploring advanced image generation methods, this course is designed to equip you with the skills to create and train diffusion models for generating high-quality images.
**Who is this course for?**
- Machine learning enthusiasts curious about advanced image generation techniques.
- Data scientists aiming to expand their knowledge in neural network architectures.
- Developers interested in implementing diffusion models for creative applications.
**Why Take this Course?**
- **Cutting-Edge Techniques:** Explore the latest advancements in image generation using Diffusion Neural Networks.
- **Hands-On Implementation:** Gain practical experience by building, training, and visualizing diffusion models with Keras.
- **Creative Applications:** Discover the potential of diffusion models in generating diverse and realistic images for various applications.
By the end of this course, you'll have the knowledge and hands-on experience to leverage Diffusion Neural Networks for image generation, providing you with a valuable skill set in the rapidly evolving field of deep learning. Join us in the "Image Generation with Diffusion Neural Network" course and unlock the potential of advanced neural network architectures for creative image synthesis.
Instructors
Taught by people who ship.
John Bura
Founder and CEO of Mammoth Club and Course Pro, the #1 AI-powered Learning Management System for course and content development, training and evaluation.
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Exploring Image Generation with Diffusion Neural Networks