Salihbey

@saleh70

190 Following

42 Followers

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Money is a good 👍

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Let’s go to mask 🎭🎭🎭

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Add money 💰 for me please and thank me when you’re free I have some cash 💰 to spare for the car I need to pay 💰

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You hard work pays 🎭🎭🎭

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Help us boost TON Community While we keep boosting liquidity pools with Toncoin, our channel also needs your boosts to enable Stories. Before boosting our channel: ▪️ Update Telegram to the latest version. ▪️ Get Telegram Premium through Fragment using your TON wallet or via the @PremiumBot. How to boost TON Community?

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Nomis launches TON reputation score Nomis, a reputation protocol, introduces an onchain reputation system to TON, assigning users a score (0-100) based on wallet activity. This system detects bot farms and Sybils, preventing abuse and rewarding genuine users. The score will also be utilized on the TON Society platform. Nomis becomes the first scoring solution on TON, and to celebrate, they're offering a free score to the first 1M users (users only need to pay the gas fee). Additionally, various TON Ecosystem projects, including Storm Trade, DeDust, Tonkeeper, Aqua Protocol, Nimbus, and many others, will offer benefits like access, drop eligibility, and more. Discover more here.

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Good project and great 👍

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🎭🎭🎭🎭🎭nothing 😀

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Networking is good, mask.

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Mask 😷 best project ☺️

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Look at me 🥹

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Your day is full of money😎

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6. Online courses or coaching: Share your knowledge and expertise by creating online courses or offering coaching services in areas where you excel. 7. Dropshipping: Start an online store without holding any inventory by partnering with suppliers who handle fulfillment.

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Optimization Networks, or OptNet for short, is a programming method that is used to solve optimization problems. These networks are usually used for problems that require complex graphs and complex data structures. OptNet usually consists of an input layer, an output layer, and intermediate layers that perform optimization using activation agents and objective functions. These networks can be used to solve optimization problems such as optimization, graph optimization and other complex optimization problems.

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Steep five : 4. Avoiding local minima: Optimizers are designed to help models avoid getting stuck in local minima by exploring the parameter space and finding the global minimum of the loss function.

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Steep four: 4. Avoiding local minima: Optimizers are designed to help models avoid getting stuck in local minima by exploring the parameter space and finding the global minimum of the loss function

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