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02-neural-network-regression-pytorch.ipynb
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Deep Learning in TensorFlow and PyTorch

Hello world! This repository chronicles my ongoing journey into the world of deep learning using TensorFlow and PyTorch. I document my progress and learning experience as I embark on a self-guided exploration of deep learning, drawing knowledge from various online resources. This README serves as an evolving overview and table of contents for the content you'll discover in this repository.

1. Getting Started

2. Regression with Neural Network

3. Classification with Neural Network

4. Computer Vision

5. Transfer Learning 1

6. Transfer Learning 2

7. Transfer Learning 3

8. Natural Language Preprocessing Fundamentals

9. Time Series Fundamentals

10. Projects

  • BitCoin Prediction Project - Apply time series analysis to predict Bitcoin prices.
  • SkimLit Project - Process and understand scientific literature using NLP.
  • Food Classification Project - Implement computer vision to classify food items.

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