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.

159 courses

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Building Generative Adversarial Networks (GANs) with PyTorch

★ 4.7 (2 370)
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260 lei →
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Building Generative Adversarial Networks (GANs) with PyTorch

★ 4.7 (2 004)
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380 lei →
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Designing and Evaluating Generative Adversarial Networks (GANs)

★ 4.7 (685)
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890 lei →
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GAN Applications for Image-to-Image Translation

★ 4.8 (548)
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670 lei →
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Generative Deep Learning Foundations with TensorFlow

★ 4.9 (315)
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290 lei →
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Introduction to Deepfake Technology

★ 4.5 (245)
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910 lei →
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Deepfake Technology: Fundamentals, Creation, and Detection

★ 4.6 (112)
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1.100 lei →
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Generative Adversarial Networks: Build and Train Custom GANs

★ 4.4 (109)
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1.200 lei →
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High Resolution Image Synthesis with GANs and TensorFlow

★ 4.4 (100)
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820 lei →
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Foundations of Batch Normalization

★ 4.6 (95)
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Generative Adversarial Networks with PyTorch for Beginners

★ 3.7 (15)
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990 lei →
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Generative AI Models and Transformer Networks: A Practical Guide

★ 3.5 (14)
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840 lei →
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Generative Deep Learning Foundations: Autoencoders, VAEs, and GANs

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820 lei →
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Generative Adversarial Networks (GANs) for Beginners

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1.100 lei →
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Deep Learning and Generative Adversarial Networks with Keras

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960 lei →
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Deepfake Awareness and Digital Verification

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650 lei →
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Introduction to Variational Autoencoders: Theory and Implementation

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530 lei →
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Graph Cloning with Depth-First Search and Hash Maps

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1.100 lei →
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Introduction to Generative Learning and Autoencoders

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220 lei →
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Understanding Transposed Convolutions for Image Upsampling with JAX

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960 lei →
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Generative AI with PyTorch: Build Your First GAN

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600 lei →
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Build Training Datasets for Autonomous Vehicle Segmentation

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750 lei →
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Autoencoders & VAEs: Build Foundational AI Models

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240 lei →
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Generative Adversarial Networks Fundamentals

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550 lei →
Showing 1–24 of 159 courses