The attendees learned what JAX is and its fundamental yet unique features, which make it efficient to use when executing deep learning workloads. After that, they started training their first JAX-powered deep learning model. TFUG Taipei hosted Python JAX Image classification and helped people learn JAX and how to use it in Colab. They shared knowledge about the difference between JAX and Numpy, the advantages of JAX, and how to use it in Colab. Introduction to JAX by ML GDE João Araújo (Brazil) shared the basics of JAX in Deep Learning Indaba 2022.

The Google Developers Experts program is a global community of professional developers and thought leaders who are passionate about contributing to local developer communities. Each GDE represents a specific Google technology. GDEs develop apps, create technical content, and speak at global industry conferences. There are over 150 Machine Learning and TensorFlow Experts all over the world, and here are some of their amazing achievements. Margaret Maynard-Reid, Sayak Paul, George Souloupis, Patrick Halalabidis worked together on Image Background Stylizer(intro, tflite, android, ios coming soon!) together with the TFLite team.

I am pleased to share the news of starting an interview series on data science and machine learning from the people that have inspired me, that have taught me (read are teaching me) about these beautiful subjects. The purpose of doing this is to mainly get insights about the real-world project experiences, perspectives on learning new things, some fun facts and thereby enriching the communities in the process.

Thank you for visiting this site. I am currently with PyImageSearch where I apply deep learning to solve real-world problems in computer vision and bring some of the solutions to edge devices. I am also responsible for providing Q&A support to PyImageSearch readers. Previously at DataCamp, I developed projects for DataCamp Project. My DataCamp projects Predicting Credit Card Approvals and Analyze International Debt Statistics are now launched and so is my DataCamp practice pool Advanced Deep Learning with Keras in Python (I created exercises for DataCamp Practice too).