Generative Adversarial Networks (GANs)
Explore the theory and practice of Generative Adversarial Networks. Learn to build and train GANs for tasks like image generation, style transfer, and data augmentation.
159 courses
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Building Generative Adversarial Networks (GANs) with PyTorch
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KSh 7,200
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Building Generative Adversarial Networks (GANs) with PyTorch
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KSh 10,000
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Designing and Evaluating Generative Adversarial Networks (GANs)
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KSh 24,000
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GAN Applications for Image-to-Image Translation
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KSh 18,000
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Generative Deep Learning Foundations with TensorFlow
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KSh 7,800
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Introduction to Deepfake Technology
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KSh 25,000
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Deepfake Technology: Fundamentals, Creation, and Detection
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KSh 30,000
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Generative Adversarial Networks: Build and Train Custom GANs
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KSh 32,000
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High Resolution Image Synthesis with GANs and TensorFlow
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KSh 22,000
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Foundations of Batch Normalization
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KSh 29,000
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Generative Adversarial Networks with PyTorch for Beginners
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KSh 27,000
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Generative AI Models and Transformer Networks: A Practical Guide
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KSh 23,000
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Generative Deep Learning Foundations: Autoencoders, VAEs, and GANs
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KSh 22,000
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Generative Adversarial Networks (GANs) for Beginners
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KSh 30,000
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Deep Learning and Generative Adversarial Networks with Keras
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KSh 26,000
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Deepfake Awareness and Digital Verification
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KSh 18,000
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Introduction to Variational Autoencoders: Theory and Implementation
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KSh 14,000
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Graph Cloning with Depth-First Search and Hash Maps
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KSh 29,000
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Introduction to Generative Learning and Autoencoders
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KSh 5,900
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Understanding Transposed Convolutions for Image Upsampling with JAX
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Generative AI with PyTorch: Build Your First GAN
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KSh 16,000
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Build Training Datasets for Autonomous Vehicle Segmentation
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Autoencoders & VAEs: Build Foundational AI Models
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KSh 6,500
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Generative Adversarial Networks Fundamentals
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KSh 15,000
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Showing 1–24 of 159 courses