High-dimensional non-convex loss landscapes play a central role in the theory of Machine Learning. Gaining insight into how these landscapes interact with gradient-based optimization methods, even in relatively simple models, can shed light on this e...
TensorFlow Neural Machine Translation Tutorial (⭐ 6466)
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A machine learning package for streaming data in Python. The other ancestor of River. (⭐ 793)
The meaning of THROUGHPUT is the amount of something (such as material, data, etc.) that passes through something (such as a machine or system). How to use throughput in a sentence.
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Although neural conversation models are effective in learning how to produce fluent responses, their primary challenge lies in knowing what to say to make the conversation contentful and non-vacuous. We present a new end-to-end approach to contentful...
ChatterBot is a machine learning, conversational dialog engine for creating chat bots (⭐ 14479)
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Worked on hand gestures and recognizing the words and combine them to form a meaningful sentences. I have used two machine learning models - SVM and LSTM, to predict the sign. The models were trained and tested using 42 different sign words and 28 sentences. L…
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I went into mc Donald's and ordered my food by the self service machine and I got my number and ticket. It was a busy day and it was impressive seeing the mc Donald workers dealing with the stress. Wh...
Audience expansion has become an important element of prospective marketing, helping marketers create target audiences based on a mere representative sample of their current customer base. Within the realm of machine learning, a favored algorithm for...
Counterfactual generation lies at the core of various machine learning tasks, including image translation and controllable text generation. This generation process usually requires the identification of the disentangled latent representations, such a...
2 days ago · Dig into all the new Netflix TV shows and movies heading to Netflix this week, including "War Machine," "Vladimir" and more.
Learning with few labeled tabular samples is often an essential requirement for industrial machine learning applications as varieties of tabular data suffer from high annotation costs or have difficulties in collecting new samples for novel tasks. De...
basic configurations: The Automatic Rifle Machine-gun (ARM) with bi-pod, wire-cutter and carrying handle; would become the standard service rifle issued to
Drawing and annotating comic illustrations is a complex and difficult process. No existing machine learning algorithms have been developed to create comic illustrations based on descriptions of illustrations, or the dialogue in comics. Moreover, it i...
Even before the Covid-19 pandemic, beneficial use cases for hygienic, touchless human-machine interaction have been explored. Gaze input, i.e., information input via eye-movements of users, represents a promising method for contact-free interaction i...
Remaining competitive in future conflicts with technologically-advanced competitors requires us to accelerate our research and development in artificial intelligence (AI) for wargaming. More importantly, leveraging machine learning for intelligent co...