All current TensorFlow Courses courses in 2024
155 Courses
Deep Learning with TensorFlow 2.0
Advance your technical skills with our specialised course on Deep Learning with TensorFlow 2.0. This course offers a comprehensive guide to building sophisticated deep learning algorithms, immersing you in the world of neural networks.
Learn from Udemy's seasoned instructors through hands-on projects and real-world business case applications..
Udemy
Neural Networks in Python: Deep Learning for Beginners
Embark on your journey into the world of Artificial Neural Networks with our comprehensive beginner's course, "Neural Networks in Python: Deep Learning for Beginners." Designed for aspiring data scientists and AI enthusiasts, this course will guide you through the fundamentals of neural networks using Python.
Throughout this course, you will le.
Udemy
Master Computer Vision™ OpenCV4 in Python with Deep Learning
Develop your computer vision expertise with the "Master Computer Vision™ OpenCV4 in Python with Deep Learning" course. Dive into the world of OpenCV4 and enhance your skills in Dlib and deep learning using Keras, TensorFlow, and Caffe. This comprehensive program offers you 21 real-life projects that bolster your understanding and application of.
Udemy
Artificial Neural Networks (ANN) with Keras in Python and R
Explore the world of Deep Learning and learn to construct Neural Networks using state-of-the-art tools like TensorFlow 2.0 and Keras, available in both Python and R environments. This course offered by Udemy provides in-depth knowledge and practical experience in applying these cutting-edge technologies.
Whether you're a tech enthusiast, a.
Udemy
Artificial Neural Networks for Business Managers in R Studio
Master the fundamentals of Artificial Neural Networks with our "Artificial Neural Networks for Business Managers in R Studio" course. Offered by Udemy, this course is designed specifically for business managers who want to delve into the world of predictive models through ANN, without requiring prior expertise in coding or complex mathematics..
Udemy
Deep Learning, Neuronale Netze und TensorFlow in Python
Werde ein Experte im Deep Learning mit diesem umfassenden Kurs zur Mathematik und Praxis neuronaler Netze, unter Verwendung von Keras und TensorFlow in Python. Diese 2024 Edition bietet aktuelle Inhalte und praktische Einblicke in die Welt des Machine Learnings.
Udemy
计算思维与人工智能基础
计算思维与人工智能课程融合理论与实际，是多学科交叉且广泛应用的前沿课程。基于多年人工智能教学实践，课程结合计算机技术发展，分析和认知人工智能学科特点，以计算思维视角探讨其基本理论和方法，运用Python实现相关理论的案例。
课程特点包括：
注重实例的教学方式： 专注于激发学生学习兴趣，结合课程属性，以解决问题的原理和思路为重点，讲解经典实例，帮助学.
XuetangX
Data Science: Modern Deep Learning in Python
Immerse yourself in the world of data science with our course on Modern Deep Learning in Python. Designed for both beginners and experienced practitioners, this course offers a comprehensive exploration of cutting-edge deep learning methods using popular Python libraries like TensorFlow, Theano, Keras, PyTorch, CNTK, and MXNet.
Leverage the.
Udemy
IBM AI Engineering
Coursera
AI technology is anticipated to expand by 37.3% by the year 2030, according to Forbes. The IBM AI Engineering Professional Certificate, offered through Coursera, equips data scientists, machine learning engineers, software engineers, and technical specialists with skills to excel as AI engineers.
Throughout the program, participa.
Coursera
Advanced Chatbots with Deep Learning and Python
Advanced Chatbots with Deep Learning and Python
This course is designed to equip learners with the knowledge and skills required to develop advanced chatbots using deep learning and Python. The initial modules provide an overview of chatbots, their evolution, and the benefits of incorporating AI into chatbot development.
Learners wil.
Coursera
Chatbots for Beginners: A Complete Guide to Build Chatbots
Chatbots for Beginners: A Complete Guide to Build Chatbots
Embark on a journey to master chatbot development with this detailed course designed for beginners. Starting with an introduction to chatbots, you’ll learn their history, applications, and benefits. Understand the differences between rule-based and self-lear.
Coursera