Foundations

Deep Learning

Neural networks, CNNs, RNNs, transformers, diffusion models and training techniques

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Skills in this topic

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Neural Network Basics

Implement a 2-layer net in NumPy and PyTorch

CNN Architectures

Build a CNN image classifier in PyTorch

Sequence Models

Implement an LSTM text generator

Generative Models

Train a GAN on image data

Training at Scale

Use FP16/BF16 mixed precision training

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Deep Learning CNN and Recurrence Analysis for Alpha Gamma EEG Biomarkers in Fragile X Syndrome

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Deep Reinforcement Learning to Master the Asymmetric Strategy of Baghchal

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State Representation Matters in Deep Reinforcement Learning: Application to Energy Trading

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A Deep Reinforcement Learning (DRL)-Based Transformer Method for Solving the Open Shop Scheduling Problem

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Silent Neuron Theory and Plasticity Preservation for Deep Reinforcement Learning in Adaptive Video Streaming

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Feature Learning Dynamics in Infinite-Depth Neural Networks

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ArXiv cs.AI 🧬 Deep Learning 📄 Paper ⚡ AI Lesson 4mo ago

Applications of deep generative models to DNA reaction kinetics and to cryogenic electron microscopy

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Automatic Road Subsurface Distress Recognition from Ground Penetrating Radar Images using Deep Learning-based Cross-verification

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