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Monday 29 June 2026 02:07:42 GMT

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#studytok #studymotivation #viral #fyp #medtok

#studytok #studymotivation #viral #fyp #medtok

🥺🥀❤️#freefirelover #foryou #viral Tips to become pro player in freefire *Start with medium-high sensitivity, then adjust slowly based on control. •General should feel smooth, not shaky. •Red Dot should allow quick upward drag for headshots. •Scope sensitivities should be lower for stability. •Keep your fire button large and easy to reach. •Place gloo wall, jump, and crouch buttons where you can press instantly without thinking. •Do not change sensitivity often. Stick with one setup and build muscle memory. 2. Aim Accuracy (Headshots) •Always aim at upper chest level so recoil naturally goes to the head. •Use slight upward drag instead of pulling too hard. •Shoot in short bursts at medium and long range. •Practice daily in training grounds using ARs and SMGs. •Focus on consistency, not speed. 3. Movement & Positioning •Never stand still during fights. •Move left and right while shooting to make yourself harder to hit. •Use jump and crouch during close fights to break enemy aim. •Always fight near cover like walls, rocks, or gloo walls. •Avoid open areas unless necessary. •High ground gives advantage whenever possible. 4. Gloo Wall Mastery •React instantly with a gloo wall when you get shot. •Place gloo walls slightly in front, not directly on yourself. •Use gloo walls to: •Block damage •Heal safely •Push forward step by step •Practice placing gloo walls quickly without looking at the button. •Learn to chain multiple gloo walls during intense fights. #freefire #fyp

🥺🥀❤️#freefirelover #foryou #viral Tips to become pro player in freefire *Start with medium-high sensitivity, then adjust slowly based on control. •General should feel smooth, not shaky. •Red Dot should allow quick upward drag for headshots. •Scope sensitivities should be lower for stability. •Keep your fire button large and easy to reach. •Place gloo wall, jump, and crouch buttons where you can press instantly without thinking. •Do not change sensitivity often. Stick with one setup and build muscle memory. 2. Aim Accuracy (Headshots) •Always aim at upper chest level so recoil naturally goes to the head. •Use slight upward drag instead of pulling too hard. •Shoot in short bursts at medium and long range. •Practice daily in training grounds using ARs and SMGs. •Focus on consistency, not speed. 3. Movement & Positioning •Never stand still during fights. •Move left and right while shooting to make yourself harder to hit. •Use jump and crouch during close fights to break enemy aim. •Always fight near cover like walls, rocks, or gloo walls. •Avoid open areas unless necessary. •High ground gives advantage whenever possible. 4. Gloo Wall Mastery •React instantly with a gloo wall when you get shot. •Place gloo walls slightly in front, not directly on yourself. •Use gloo walls to: •Block damage •Heal safely •Push forward step by step •Practice placing gloo walls quickly without looking at the button. •Learn to chain multiple gloo walls during intense fights. #freefire #fyp

সময়ের গতি চলমান যদি আমার মৃত্যু না হয়' তবে মনে রেখো আমি আবার ফিরবো....! 😊❤️‍🩹

সময়ের গতি চলমান যদি আমার মৃত্যু না হয়' তবে মনে রেখো আমি আবার ফিরবো....! 😊❤️‍🩹

All AI models are powered by deep learning algorithms. Deep learning in a set of machine learning that involves using neural networks. A neural network is a universal function approximator, capable of modeling any continuous function. We train these networks, using a process, called back propagation and gradient descent. We essentially want to take a weighted sum of the input to give us a specific output. The output is obtained by minimizing the error between what the output did last time and what we want it to do. This free course from CMU will teach you exactly how these algorithms work under the hood. To take this course, you are required to first have a college level understanding of: 1. Multi variable calculus: gradient descent requires computing the derivative of the loss with respect to the input. 2. Linear algebra: instead of computing there’s a weighted some for each parameter sequentially, we do it simultaneously using matrix multiplication. This is why learning algorithms require special computer computers (GPUs); they specialize in this matrix multiplication. 3. Probability (less important) Maybe you don’t understand how AI algorithms work. I do. #ai #deeplearning #machinelearning #EduTok

All AI models are powered by deep learning algorithms. Deep learning in a set of machine learning that involves using neural networks. A neural network is a universal function approximator, capable of modeling any continuous function. We train these networks, using a process, called back propagation and gradient descent. We essentially want to take a weighted sum of the input to give us a specific output. The output is obtained by minimizing the error between what the output did last time and what we want it to do. This free course from CMU will teach you exactly how these algorithms work under the hood. To take this course, you are required to first have a college level understanding of: 1. Multi variable calculus: gradient descent requires computing the derivative of the loss with respect to the input. 2. Linear algebra: instead of computing there’s a weighted some for each parameter sequentially, we do it simultaneously using matrix multiplication. This is why learning algorithms require special computer computers (GPUs); they specialize in this matrix multiplication. 3. Probability (less important) Maybe you don’t understand how AI algorithms work. I do. #ai #deeplearning #machinelearning #EduTok

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