codebasics/deep-learning-keras-tf-tutorial
A tutorial series teaching deep learning from scratch using TensorFlow 2.0 and Keras with Python.
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This repository contains Jupyter Notebook tutorials covering deep learning fundamentals and neural network architectures using TensorFlow 2.0 and Keras. It covers topics including CNNs, object detection, and MNIST classification, structured as a beginner-friendly learning series for mastering deep learning concepts and implementation.
Frequently asked
- What is codebasics/deep-learning-keras-tf-tutorial?
- A tutorial series teaching deep learning from scratch using TensorFlow 2.0 and Keras with Python.
- Is deep-learning-keras-tf-tutorial open source?
- Yes — codebasics/deep-learning-keras-tf-tutorial is an open-source project tracked on heatdrop.
- What language is deep-learning-keras-tf-tutorial written in?
- codebasics/deep-learning-keras-tf-tutorial is primarily written in Jupyter Notebook.
- How popular is deep-learning-keras-tf-tutorial?
- codebasics/deep-learning-keras-tf-tutorial has 989 stars on GitHub.
- Where can I find deep-learning-keras-tf-tutorial?
- codebasics/deep-learning-keras-tf-tutorial is on GitHub at https://github.com/codebasics/deep-learning-keras-tf-tutorial.