An IIHT Company

AISE TensorFlow 1.8 Python 3.6 CPU MKL Notebook

This and fully integrated minimal runtime environment is tailored for machine learning and data science tasks. It includes a powerful combination of open-source tools and libraries, making it a versatile environment for various programming and computational tasks.

The stack features TensorFlow, a renowned open-source machine learning library, along with Keras, an open-source neural network library. These libraries enable users to work on a wide range of machine learning and deep learning projects.

For interactive programming, mathematics, and data science tasks, the stack includes Jupyter Notebook, a popular browser-based interactive environment, and the Python programming language. These components make it easy to create, experiment with, and share data-driven projects.

One of the standout features of this stack is its optimization for CPU-based processing. It is built with the Intel Math Kernel Library (MKL) and MKL-DNN libraries, which enhance its performance on CPU architectures. This optimization ensures efficient execution of machine learning and data science workloads on CPU.

Additionally, the stack comes with a Development preset and essential program development and building tools, including a C compiler and make utility. This makes it a comprehensive environment for both developing and running machine learning and data science projects on CPU.

Whether you’re a data scientist, machine learning engineer, or developer, this environment offers the tools and optimization needed for productive and efficient work on CPU-based machine learning and data science tasks.

How our Cloud Labs in the real world
and other success stories

Empowering the next generation of tech leaders, Make My Labs Blogs provides invaluable resources for students and aspiring professionals.

Want to see MML in action?