curiousily/Deep-Learning-For-Hackers
A collection of Jupyter notebook tutorials covering deep learning with TensorFlow 2 and Keras in Python.
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Educational tutorials that teach machine learning fundamentals through hands-on Jupyter notebooks. Covers neural networks, LSTMs, BERT for NLP, anomaly detection, object detection, time series forecasting, and sentiment analysis. Uses TensorFlow 2 and Keras as the primary frameworks and includes practical projects like cryptocurrency price prediction and heart disease classification.
Frequently asked
- What is curiousily/Deep-Learning-For-Hackers?
- A collection of Jupyter notebook tutorials covering deep learning with TensorFlow 2 and Keras in Python.
- Is Deep-Learning-For-Hackers open source?
- Yes — curiousily/Deep-Learning-For-Hackers is open source, released under the MIT license.
- What language is Deep-Learning-For-Hackers written in?
- curiousily/Deep-Learning-For-Hackers is primarily written in Jupyter Notebook.
- How popular is Deep-Learning-For-Hackers?
- curiousily/Deep-Learning-For-Hackers has 1.1k stars on GitHub.
- Where can I find Deep-Learning-For-Hackers?
- curiousily/Deep-Learning-For-Hackers is on GitHub at https://github.com/curiousily/Deep-Learning-For-Hackers.