Lord RCV2PM
Lord RCV2PM podle plánu modelář 156 S. František Hrbáček původní plán malinko změnil motor MVVS 2,5 nahradí stejnosměrným motorem ROBBE 6-8V,bude pohánět Lipol baterie 2S 2200 mAh s převodovkou modela ,sklopnou vrtuli prodávanou v 70 letech.
Vzepětí křídel zmenšeno na 50% . odřezání odtokové hrany pro křidélka.
Edit 24.1.2015
Směrové kormidlo s plovoucí výškovkou.
Edit 4.2.2015
Lord před potažením...
Edit 11.2.2015
Potaženo , stačí doladit těžiště a hurá na zálet. Františku máš to moc hezké, ať to taky tak hezky lítá.Lord je připraven k letu František čeká na příznivější počasí. Letu zdar.
Edit 14.2.2015
Rozmístění rc vybavení, standartní serva C5077 a C507 ,dvoučlánek 2200mAh, stejnosměrný regulátor 25A MGM ComPro.
Edit 22.2.2015
Včera při pěkném ikdyž chladném počasí František udělal zálet elektro Lorda. Podle jeho slov letí krásně , postupně ho doladí ke své úplné spokojenosti .
Foto: Jiří Pastrnek
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Unleashing the Future of Finance with Bitcoin
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Neural Network Draws Dogs: Unleashing the Artistic Potential of AI
Introduction
In recent years, the field of artificial intelligence has witnessed tremendous advancements in image generation, thanks to the application of neural networks. Among these marvels is the remarkable ability of neural networks to draw dogs and create stunningly realistic artwork. This article delves into the fascinating world of how neural networks, specifically Generative Adversarial Networks (GANs) and Deep Convolutional Neural Networks (DCGANs), are employed to generate awe-inspiring images of our four-legged friends.
The Power of Generative Adversarial Networks (GANs)
Generative Adversarial Networks (GANs) are a class of artificial intelligence models consisting of two neural networks - the generator and the discriminator. The generator is responsible for creating images, while the discriminator's role is to distinguish between real and generated images. The two networks are pitted against each other in a "game," where the generator aims to produce realistic images that can fool the discriminator, while the discriminator endeavors to become more adept at recognizing real images from the generated ones.
Training a GAN to Draw Dogs
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