Day 189 of 365: Review & Practice ????????
Ajinkya Deokate
Data Scientist | Researcher | Author | Public Speaking Expert @PlanetSpark | Freelancer
Hey, Scientist!
Welcome to Day 189 of our #365DaysOfDataScience journey! ??
?? What We’ll Be Doing Today:
??- Take a day to solidify your understanding of neural networks by experimenting with different architectures, activation functions (ReLU, Sigmoid, etc.), optimizers (Adam, RMSProp), and regularization techniques (Dropout, L2). Try tweaking the hyperparameters to see how each adjustment impacts the model’s performance.
??- Write a detailed report documenting your findings: how the architecture changes affected learning, the impact of different optimizers, and how regularization influenced overfitting.
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Let’s Do This Together!
We’ve covered a lot about neural networks so far, and today we’ll have fun experimenting. It’s a great time to get creative and explore how different choices impact our models’ performance. Grab some coffee, dive into code, and let’s geek out on neural nets!
Happy Learning & See You Soon!
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