Transposed Convolutions in Neural Networks – Interactive Demo App
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Frank
- November 14, 2023
- AI
- ai art
- artificial intelligence
- artificial neural network
- Autoencoders
- CNN
- Convolutional Neural Network
- CUDA
- cuDNN
- data augmentation
- Deep Learning
- diffusion models
- Education
- fine-tune
- GANS
- generative models
- GPU
- image classification
- Image2Image
- Keras
- Learning
- Machine Learning
- neural net
- Neural Network
- Nvidia
- Python
- PyTorch
- relu
- Sequential model
- SGD
- stable diffusion
- Supervised Learning
- TensorFlow
- train
- Training
- Tutorial
This video is from deeplizard. Transposed convolutions are a particular type of upsampling technique often used in neural networks, particularly GANs. Just like other upsampling techniques, transposed convolutions increase the size of data. For image data, transposed convolutions are used to increase image dimensions. Use the interactive demonstration below to gain a better understanding of […]
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Upsampling in Neural Networks – Interactive Demo App
-
Frank
- October 31, 2023
- AI
- ai art
- artificial intelligence
- artificial neural network
- Autoencoders
- CNN
- Convolutional Neural Network
- CUDA
- cuDNN
- data augmentation
- Deep Learning
- diffusion models
- Education
- fine-tune
- GANS
- generative models
- GPU
- image classification
- Image2Image
- Keras
- Learning
- Machine Learning
- neural net
- Neural Network
- Nvidia
- Python
- PyTorch
- relu
- Sequential model
- SGD
- stable diffusion
- Supervised Learning
- TensorFlow
- train
- Training
- Tutorial
This video is from deeplizard. In deep learning, upsampling is a technique used to increase the size of data. For image data, upsampling is used to increase image dimensions. It does this by inferring values for the newly introduced pixels in the upsampled output space from the original image input. Use the interactive demonstration below […]
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Will Artificial Intelligence End Human Creativity?
Recent advancements in Artificial Intelligence design tools have raised some interesting questions about the future of human creativity. Are we are about to see the biggest creative and cultural explosion since the invention of electricity in the 1890s or is this another “SkyNet takes over everything” moment? By the end of this video, you will […]
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Intuitive Intro To Generative Adversarial Networks – GAN Course Preview
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Frank
- July 26, 2021
- activation function
- AI
- artificial intelligence
- artificial neural network
- Autoencoders
- batch normalization
- CNN
- Convolutional Neural Network
- CUDA
- cuDNN
- data augmentation
- Deep Learning
- Education
- fine-tune
- GANS
- generative adversarial networks
- GPU
- image classification
- Keras
- Learning
- Machine Learning
- neural net
- Neural Network
- Nvidia
- Python
- PyTorch
- relu
- SGD
- Supervised Learning
- TensorFlow
- tensorflow.js
- train
- Training
- Transfer Learning
- Tutorial
- Unsupervised Learning
deeplizard has a brand new premium course, an Introduction to Generative Adversarial Networks (GANs). Below is the full first lesson of the course available as a preview to the course at large.
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Intro to Generative Adversarial Networks (GANs) – New Course Release
-
Frank
- July 19, 2021
- activation function
- AI
- artificial intelligence
- artificial neural network
- Autoencoders
- batch normalization
- CNN
- Convolutional Neural Network
- CUDA
- cuDNN
- data augmentation
- Deep Learning
- Education
- fine-tune
- GANS
- generative adversarial networks
- GPU
- image classification
- Keras
- Learning
- Machine Learning
- neural net
- Neural Network
- Nvidia
- Python
- PyTorch
- relu
- SGD
- Supervised Learning
- TensorFlow
- tensorflow.js
- train
- Training
- Transfer Learning
- Tutorial
- Unsupervised Learning
deeplizard announces their brand new premium deeplizard course, an Introduction to Generative Adversarial Networks (GANs)
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AI Learns to Draw New Pokemon
Jabrils uses an autoencoder to generate a new Pokemon.
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