A logarithm is the power which a certain number is raised to get another number. Before calculators and various types of complex computers were invented it was difficult for scientists and ...

Abstract: In this article, we propose a novel logarithmic quantization-based deep neural network (DNN) architecture for depthwise separable convolution (DSC) networks. Our architecture is based on ...

Casey Murphy has fanned his passion for finance through years of writing about active trading, technical analysis, market commentary, exchange-traded funds (ETFs), commodities, futures, options, and ...

Abstract: This paper proposes a low-power implementation of the approximate logarithmic multiplier to improve the power consumption of convolutional neural networks ...

Within each content area, there are one or more tutorials. Each tutorial consists of lessons. Each lesson should be a page detailing the concept being taught, along with sample code. Lesson and page ...

Training very deep neural networks requires a lot of memory. Using the tools in this package, developed jointly by Tim Salimans and Yaroslav Bulatov, you can trade off some of this memory usage with ...

CoinEx’s Jeff Ko tells Cointelegraph there likely won’t be an altseason in 2026 as liquidity will flow into the top cryptocurrencies. The typical altcoin rally is likely to wane next year, with only ...

Engineers and technicians who work with oscilloscopes are used to seeing waveforms that plot a voltage versus time. Almost all oscilloscopes these days include the Fast Fourier Transform (FFT) to view ...

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