If you are a software developer who wants to build scalable AI-powered algorithms, you need to understand how to use the tools to build them. This course is part of the upcoming Machine Learning in Tensorflow Specialization and will teach you best practices for using TensorFlow, a popular open-source framework for machine learning.
This course is part of the DeepLearning.AI TensorFlow Developer Professional Certificate
Offered By

About this Course
Experience in Python coding and high school-level math is required. Prior machine learning or deep learning knowledge is helpful but not required.
What you will learn
Learn best practices for using TensorFlow, a popular open-source machine learning framework
Build a basic neural network in TensorFlow
Train a neural network for a computer vision application
Understand how to use convolutions to improve your neural network
Skills you will gain
- Computer Vision
- Tensorflow
- Machine Learning
Experience in Python coding and high school-level math is required. Prior machine learning or deep learning knowledge is helpful but not required.
Offered by
Syllabus - What you will learn from this course
A New Programming Paradigm
Introduction to Computer Vision
Enhancing Vision with Convolutional Neural Networks
Using Real-world Images
Reviews
- 5 stars80.61%
- 4 stars15.62%
- 3 stars2.49%
- 2 stars0.64%
- 1 star0.61%
TOP REVIEWS FROM INTRODUCTION TO TENSORFLOW FOR ARTIFICIAL INTELLIGENCE, MACHINE LEARNING, AND DEEP LEARNING
Good intro course, but google colab assignments need to be improved. And submitting a jupyter notebook was much more easier, why would I want to login to my google account to be a part of this course?
It's a good hands-on exercise. I like to see more link to keras api document when we introduce new function in keras. However, Tensorflow document regarding keras api is yet in complete. Thank you.
Es un excelente curso para todo aquel que este interesado en las ciencias de datos y la inteligencia artificial ya que Tensorflow y Keras son herrameintas que acortan mucho el camino de desarrollo.
Great course to get started with building Convolutional Neural Networks in Keras for building Image Classifiers. This is probably the best way to get beginners into Deep Learning for Computer Vision.
About the DeepLearning.AI TensorFlow Developer Professional Certificate

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