A Complete Guide on TensorFlow 2.0 using Keras API

Recently, TensorFlow 2.0 was launched, and it included a number of enhancements that made the process of creating and maintaining models easier. By deconstructing numerous complicated ideas, it improves people's comprehension from an educational standpoint. From the perspective of the industry, models are more simpler to comprehend, produce, and maintain. One of the most rapidly expanding subfields in artificial intelligence is deep learning. It has been demonstrated in recent years that Deep Learning models, even the most basic ones, are capable of solving extremely challenging and complicated problems.

People are unleashing Deep Learning's strength and promise for product enhancements now that the initial hype has, in part, subsided. The course is designed to cover every topic, starting with neural network modeling and training and ending with putting it into use. Although it is more common these days for Android or iOS applications to have a Deep Learning model, neural networks are quite energy and resource intensive. The TensorFlow Lite library can be used in this situation. You will discover how to adapt and optimize any neural network to function on a mobile device in Section 12 of the course.

Requirements:

• Some math basics like knowing what is a differentiation or a gradient
• Python basics

Who this course is for:

• Deep Learning Engineers who want to learn Tensorflow 2.0
• Artificial Intelligence Engineers who want to expand their Deep Learning stack skills
• Computer Scientists who want to enter the exciting area of Deep Learning and Artificial Intelligence
• Data Scientists who want to take their AI Skills to the next level
• AI experts who want to expand on the field of applications
• Python Developers who want to enter the exciting area of Deep Learning and Artificial Intelligence
• Engineers who work in technology and automation
• Businessmen and companies who want to get ahead of the game
• Students in tech-related programs who want to pursue a career in Data Science, Machine Learning, or
• Artificial Intelligence
• Anyone passionate about Artificial Intelligence

Course Rating: 4.3/5
Enroll here: https://www.udemy.com/course/tensorflow-2/