Back/Data & AI/Deep Learning

Deep Learning

Neural networks that can understand images, language, and sequences. PyTorch is the framework used by researchers and production engineers alike. Transformers are the architecture powering every modern LLM. This is where ML becomes AI.

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PyTorch

The dominant deep learning framework. Tensors, autograd, neural network layers, and GPU-accelerated training.

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Neural Networks

Feedforward networks, backpropagation, activation functions, and the mathematical foundations of all deep learning.

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Transformers & Attention

The attention mechanism, transformer architecture, and the building blocks behind every modern language model.

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Computer Vision

CNNs, image classification, object detection, and building systems that understand the visual world.

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NLP & Language Models

Text classification, embeddings, fine-tuning LLMs, and building systems that understand and generate language.