rohanmistry231/Deep-Learning-Projects
A collection of deep learning projects implemented in Python, focusing on neural networks, computer vision, and NLP using frameworks like TensorFlow and PyTorch. Includes practical examples, datasets, and tutorials for building and evaluating advanced machine learning models.
This collection provides ready-to-use deep learning models for classifying images like medical scans, everyday objects, or even handwritten digits, and for analyzing text sentiment. It takes in various datasets—such as medical images, photos, or text reviews—and outputs trained models or predictions for specific tasks. Researchers, data scientists, and students looking to understand and apply deep learning to real-world problems would find this useful.
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Use this if you need practical examples and pre-built code to implement deep learning solutions for image classification, object recognition, or natural language processing tasks.
Not ideal if you are looking for a plug-and-play API or a no-code solution to integrate deep learning into an existing application without any coding.
Stars
41
Forks
1
Language
Jupyter Notebook
License
MIT
Category
Last pushed
May 23, 2025
Commits (30d)
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