โLearning, building,...ย โขย 1d
Day 2/60: Jab I met Perceptron Iโm Anuj Tongse, and for Day 2 of my Deep Learning challenge, I went back to the very beginning: how nature inspired the machines. โTodayโs deep dive: The Applications of Deep learning like :- Self Driving Car :-Virtual assistantans :GAN:-genrates new things from data sets etc I learned about Perceptron and it is importance in Ai Basically it gives you a linear division region โBiological vs. Mathematical: Learning how a biological neuron (Dendrites/Axons) translates into a Mathematical Perceptron. ๐ง โก๏ธ๐ข โ "Perceptronโs Limit" it can only handle Linear Classification. It draws a straight line to separate data, but real-world problems are rarely that simple. โUnderstanding this "single cell" is the only way to eventually understand the "brain" (Neural Networks). โ#DeepLearning #Day2 #BTech #ArtificialIntelligence #NeuralNetworks #Perceptron #LearnInPublic #TechStudent




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Just completed a deep dive into how neurons and layers in neural networks mirror linear and logistic regression and how TensorFlow simply automates the math we've already learned. I revisited core concepts from linear and logistic regression and saw
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Top Free AI Courses You Can Start Today (posting it as two posts, link for second post is at bottom) #1 GenAI Free Program - 7 Courses Combo https://www.analyticsvidhya.com/courses/learning-path/generative-ai-program-free/ Data Science Free Progr
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"Learn vision pro" "Imagine a book that isn't just filled with words, but with a revolutionary way of learning. Our vision is a book equipped with a micro projector and transparent sheets for projections. But it doesn't stop there. The real magic li
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