Generative Adversarial Networks (GANs) — PickAClass

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.

158 courses

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Building Generative Adversarial Networks (GANs) with PyTorch

4.7 (2 370)
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1.100 Kč
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Building Generative Adversarial Networks (GANs) with PyTorch

4.7 (2 004)
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1.600 Kč
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Designing and Evaluating Generative Adversarial Networks (GANs)

4.7 (685)
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3.700 Kč
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GAN Applications for Image-to-Image Translation

4.8 (548)
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2.800 Kč
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Generative Deep Learning Foundations with TensorFlow

4.9 (315)
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1.200 Kč
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Introduction to Deepfake Technology

4.5 (245)
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3.800 Kč
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Deepfake Technology: Fundamentals, Creation, and Detection

4.6 (112)
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4.600 Kč
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Generative Adversarial Networks: Build and Train Custom GANs

4.4 (109)
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4.900 Kč
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High Resolution Image Synthesis with GANs and TensorFlow

4.4 (100)
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3.400 Kč
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Foundations of Batch Normalization

4.6 (95)
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4.500 Kč
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Generative Adversarial Networks with PyTorch for Beginners

3.7 (15)
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4.100 Kč
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Generative AI Models and Transformer Networks: A Practical Guide

3.5 (14)
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3.500 Kč
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Generative Deep Learning Foundations: Autoencoders, VAEs, and GANs

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3.400 Kč
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Generative Adversarial Networks (GANs) for Beginners

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4.600 Kč
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Deep Learning and Generative Adversarial Networks with Keras

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4.000 Kč
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Deepfake Awareness and Digital Verification

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2.700 Kč
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Introduction to Variational Autoencoders: Theory and Implementation

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2.200 Kč
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Graph Cloning with Depth-First Search and Hash Maps

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4.500 Kč
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Introduction to Generative Learning and Autoencoders

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900 Kč
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Understanding Transposed Convolutions for Image Upsampling with JAX

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4.000 Kč
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Generative AI with PyTorch: Build Your First GAN

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2.500 Kč
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Build Training Datasets for Autonomous Vehicle Segmentation

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3.100 Kč
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Autoencoders & VAEs: Build Foundational AI Models

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1.000 Kč
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Generative Adversarial Networks Fundamentals

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2.300 Kč
Showing 1–24 of 158 courses