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  2. Inception (deep learning architecture) - Wikipedia

    en.wikipedia.org/wiki/Inception_(deep_learning...

    The Inception v1 architecture is a deep CNN composed of 22 layers. Most of these layers were "Inception modules". The original paper stated that Inception modules are a "logical culmination" of Network in Network [5] and (Arora et al, 2014). [6] Since Inception v1 is deep, it suffered from the vanishing gradient problem.

  3. Fréchet inception distance - Wikipedia

    en.wikipedia.org/wiki/Fréchet_inception_distance

    The Fréchet inception distance (FID) is a metric used to assess the quality of images created by a generative model, like a generative adversarial network (GAN) [1] or a diffusion model. [ 2 ] [ 3 ] The FID compares the distribution of generated images with the distribution of a set of real images (a "ground truth" set).

  4. Inception score - Wikipedia

    en.wikipedia.org/wiki/Inception_score

    The Inception Score (IS) is an algorithm used to assess the quality of images created by a generative image model such as a generative adversarial network (GAN). [1] The score is calculated based on the output of a separate, pretrained Inception v3 image classification model applied to a sample of (typically around 30,000) images generated by the generative model.

  5. AlexNet - Wikipedia

    en.wikipedia.org/wiki/AlexNet

    If one freezes the rest of the model and only finetune the last layer, one can obtain another vision model at cost much less than training one from scratch. AlexNet block diagram AlexNet is a convolutional neural network (CNN) architecture, designed by Alex Krizhevsky in collaboration with Ilya Sutskever and Geoffrey Hinton , who was Krizhevsky ...

  6. Convolutional neural network - Wikipedia

    en.wikipedia.org/wiki/Convolutional_neural_network

    A deep Q-network (DQN) is a type of deep learning model that combines a deep neural network with Q-learning, a form of reinforcement learning. Unlike earlier reinforcement learning agents, DQNs that utilize CNNs can learn directly from high-dimensional sensory inputs via reinforcement learning. [154]

  7. Google's AI is getting really good at captioning photos - AOL

    www.aol.com/news/2016-09-23-googles-ai-is...

    It's great to be an AI developer right now, but maybe not a good time to have a job that can be done by a machine. Take image captioning -- Google has released its "Show and Tell" algorithm to ...

  8. Food prices worried most voters, but Trump's plans likely won ...

    www.aol.com/food-prices-worried-most-voters...

    Americans are fed up with the price of food, and many are looking to President-elect Donald Trump to lower their grocery bills. Trump often railed on the campaign trail against hefty price ...

  9. 10 Overrated Foods People Are Pretending to Enjoy - AOL

    www.aol.com/10-overrated-foods-people-pretending...

    3. Foie Gras. Foie gras is probably the ultimate starter-pack item for acting like a rich person, and the one food item that chefs love to cook to appeal to said rich people.Redditors on the other ...