# curiousily/Deep-Learning-For-Hackers

<https://repo.masters-masters.com/en/repos/curiousily/Deep-Learning-For-Hackers>

[Home](https://repo.masters-masters.com/en) › [curiousily](https://repo.masters-masters.com/en/owners/curiousily) › [Deep-Learning-For-Hackers](https://repo.masters-masters.com/en/repos/curiousily/Deep-Learning-For-Hackers)

curiousily/Deep-Learning-For-Hackers has 1,079 stars on GitHub. Its RepoMasters card: Beta tier. Machine Learning tutorials with TensorFlow 2 and Keras in…

| Field | Value |
| --- | --- |
| Owner | [curiousily](https://repo.masters-masters.com/en/owners/curiousily) |
| Stars | 1,079 |
| Forks | 430 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | MIT |
| Created | 2019 |
| Topics | deep-learning, tensorflow, machine-learning, artificial-intelligence, python, keras, neural-networks, jupyter-notebooks, tensorflow-tutorial, lstms |
| Tier | [Beta (700 to 1,999 ★)](https://repo.masters-masters.com/en/ranks/box_office) |
| View on GitHub | [curiousily/Deep-Learning-For-Hackers](https://github.com/curiousily/Deep-Learning-For-Hackers) |

## Repository

Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)

The tier for repos with 700 to 1,999 ★. Published odds per card pulled: 6%. Rarity: Rare.

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