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Deep Learning with PyTorch
Build neural networks and deep learning models using PyTorch. From basics to advanced architectures.
4.9(267 reviews)
890 students
12h 0m total
Prof. Michael Rodriguez
Deep learning researcher and university professor
$99
One-time payment
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Certificate of completion
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Learning Objectives
- Master PyTorch fundamentals and tensor operations
- Build and train neural networks from scratch
- Implement CNNs for computer vision tasks
- Create RNNs for sequence modeling
- Deploy models in production environments
Prerequisites
- Python programming experience
- Basic machine learning concepts
- Linear algebra and calculus
Tools & Technologies
PyTorch
Python
CUDA
TensorBoard
Docker