Shypd.aiThe largest open index of AI toolsDive-into-DL-TensorFlow2.0 is an open-source project that provides a TensorFlow 2.0 implementation of the 'Dive into Deep Learning' book. It allows users to convert MXNet implementations to TensorFlow, facilitating learning and experimentation with deep learning models.
Trending
About
Dive-into-DL-TensorFlow2.0 is an open-source project that re-implements the MXNet code from the popular 'Dive into Deep Learning' book into TensorFlow 2.0. This project has received recognition from the original author, Li Mu, ensuring its accuracy and relevance. It includes Jupyter Notebook code for each chapter and markdown documentation, which is deployed as a web page via GitHub Pages. The project is designed for individuals interested in deep learning, particularly those who want to use TensorFlow 2.0, and does not require prior deep learning or machine learning background, only basic math and Python programming knowledge. It covers a wide range of topics from deep learning basics to advanced concepts like convolutional and recurrent neural networks, optimization algorithms, computer vision, and natural language processing.
Capabilities
Pricing & Plans
Open Source
Free
FAQs
Trending
