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Movie Recommendation System
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Handwritten Digit Recognition (CNN)
Train, evaluate and deploy a convolutional network with a live drawing demo.
★ 4.7
(52 reviews)
143 sold
About this module
An end-to-end computer-vision project on the classic MNIST problem, taken from notebook to deployed demo. Covers data loading and augmentation, model architecture, training loops, evaluation metrics and confusion-matrix analysis.
A small web demo lets you draw a digit and see the prediction in real time. The write-up explains every hyper-parameter choice and includes an ablation study you can cite.
Runs on CPU; a GPU just makes training faster.
What’s included
- Full source code (Git repository)
- Setup & configuration guide
- Technical documentation (PDF)
- Presentation slides (PPTX)
- Demo walkthrough video
- 2 weeks email support
Tech stack
Python
PyTorch
NumPy
Matplotlib
Flask
EGP 2,600
In stock
Delivered in 5 days after your deposit clears.
- Instant access after final payment
- Full source code + documentation
- One-time purchase, yours to keep
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