Machine Learning & Neural Networks for Computer Vision, Time Series Analysis, NLP, GANs, Reinforcement Learning
The "TensorFlow 2.0 Course" is a concise and targeted program for individuals seeking expertise in utilizing TensorFlow, a popular open-source machine learning library. This course focuses on the latest version, TensorFlow 2.0, and covers essential concepts such as building neural networks, deep learning models, and deploying machine learning solutions.
Participants will gain hands-on experience in implementing advanced machine learning algorithms and leveraging TensorFlow's updated features, making it an ideal choice for those looking to stay current with cutting-edge developments in the field of machine learning.
A computer with Windows 7 (or later) or macOS 10.12 (Sierra).
Adobe Illustrator CC (you can buy a license or download the 7-day trial from the Adobe website).
A graphics tablet is recommended, but not necessary.
A working knowledge of Computers
I am Attila, a Senior Software Engineer with a rich history in the information technology and services industry, currently contributing to X formerly Twitter. I bring robust leadership experience from my time as Lead Android Engineer at Sphere and as a technical team lead at Halcyon Mobile. My expertise spans from ideating and implementing major software projects, leading collaborative efforts, and driving platform-wide improvements.
Lifetime access
Elevate your career with our course's lifetime access. Stay updated, revisit key concepts, and enjoy a perpetual competitive edge in your field.
Practice-based lessons
Immerse yourself in hands-on learning through our practice-based lessons, designed to provide practical skills and real-world insights.
20% discount for other courses
Get a 20% discount on additional courses! Expand your skills and knowledge affordably. Enroll now for more learning opportunities.
Quarterly updates
Our mentors review the course syllabus once in a quarter and once you have a lifetime access you’ll also be able to see those updates