The 3rd day of the Google Machine Learning Community Summit was a dynamic and interactive experience, focusing on hands-on demonstrations by Google Developer Experts (GDEs) and TensorFlow User Group (TFUG) members from around the world. This blog is the last of a 3-part series, and it highlights the power of brevity and the depth of talent within the AI/ML community. The day progressed with an invaluable feedback session involving Martin Gorner and Mark McDonald, focusing on Keras Core and Generative AI. At its core, deep learning involves manipulating multi-dimensional arrays known as tensors, which are essential in linear algebra. Libraries like NumPy in Python are capable of tensor manipulations, and deep learning requires more advanced and optimized tensor operations, often executed on GPUs or TPUs for efficiency.
