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Hetansh Modh

Hey I am on Medial • 5m

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 how they map directly to neural network units: ✓ A neuron without activation works just like a linear regression model (y = wx + b). ✔ A neuron with sigmoid activation behaves like a logistic regression model, outputting probabilities. ✔ Used TensorFlow's Keras API to build simple models, set weights manually, and visualize predictions. ✓ Understood how layers work internally and how models are initialized and used in real-world frameworks. This lab really helped me connect traditional ML concepts to how they're implemented in deep learning frameworks. #learn #machinelearning #deeplearning #tensorflow #keras #ai #neuralnetworks #regression

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Inayat Hasan

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🧠 From Linear Thinking to Non-Linear Solutions: My ML Journey Just wrapped up a major milestone in my data science learning - transitioning from Logistic Regression to Support Vector Machines through Krish Naik's bootcamp. 🔍 The Learning Curve: Log

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Gigaversity

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Deep Manak Founder Product Lead

Building a next-gene... • 7d

Built independently. Now ready to scale with the right strategic partners. In a crowded dating market, we focused on two things equally: robust infrastructure and a clean, premium user experience. What we’ve built: ✔ Real-time messaging (reply, re