Explore AI's brain! Discuss neural networks, machine learning models, and cutting-edge applications. Dive into code, theory, and the future of intelligent systems.
Fornitura
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Neural Net Architectures Explained
Deep dive into CNNs, RNNs, Transformers, and their core building blocks. Understand the 'why' behind each.
ML Model Selection Workshop
Guide to choosing the right ML model for your specific problem and data. Practical considerations.
Code Walkthrough: Simple NN
Hands-on coding session: building and training a basic neural network from scratch with Python.
Ethical AI & Bias in Models
Discussing fairness, accountability, and transparency in deep learning systems. Identifying and mitigating bias.
Future of AI: Trends & Research
Exploring emerging research areas, novel applications, and the trajectory of intelligent systems.
Troubleshooting DL Models
Common challenges in deep learning (overfitting, vanishing gradients) and practical solutions.