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23 hours ago · The year 2014 saw the first generative adversarial network (GAN), by Ian Goodfellow (also employed as a researcher at Google) and colleagues, a class of machine learning framework where two neural networks compete against each other by generating new data made to look as authentic as real data (e.g., generating new photographs designed to look ...
5 days ago · Catastrophic forgetting is a problem faced by many machine learning models and algorithms. When trained on one task, then trained on a second task, many machine learning models 'forget'' how to perform the first task. This is widely believed to be a serious problem for neural networks.
- Ian J. Goodfellow, Mehdi Mirza, Da Xiao, Aaron Courville, Yoshua Bengio
- 2014
23 hours ago · ☝️ This is an example of a video generated by OpenAI's Sora technology. Generative Adversarial Networks (GANs) are a groundbreaking architecture in generative AI, introduced by Ian Goodfellow and his colleagues in 2014.
5 days ago · Popularly known as The GANfather; Ian J. Goodfellow is an American Computer Scientist, engineer, and executive; popular for his work on Artificial Neural Networks, and deep learning....
3 days ago · Deep Learning by Ian Goodfellow, Yoshua Bengio, and Aaron Courville; Improve anomaly detection results using an autoencoder model with data augmentation in Keras. Discover the impact of batch size and epoch on data augmentation and anomaly detection. Read on for a detailed tutorial.
1 day ago · In general, the common denominator for this kind of system and application is the use of Generative Adversarial Network (GAN), which, introduced in 2014 by Ian Goodfellow et al. , constitute a framework employing two distinct models: a generator G 𝐺 G italic_G and a discriminator D 𝐷 D italic_D, that play a min-max game, respectively trying to generate realistic data and to distinguish ...
1 day ago · Ian J. Goodfellow, Oriol Vinyals: Qualitatively characterizing neural network optimization problems.
