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 DeepLearning.AI TensorFlow Developer Specialization and will teach you best practices for using TensorFlow, a popular open-source framework for machine learning. The Machine Learning course and Deep Learning Specialization from Andrew Ng teach the most important and foundational principles of Machine Learning and Deep Learning. This new DeepLearning.AI TensorFlow Developer Specialization teaches you how to use TensorFlow to implement those principles so that you can start building and applying scalable models to real-world problems. To develop a deeper understanding of how neural networks work, we recommend that you take the Deep Learning Specialization.
Walking through convolutions
Skills You'll Learn
Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Deep Learning, Tensorflow, Keras (Neural Network Library), Computer Vision, Machine Learning, Image Analysis
Reviews
4.8 (19,642 ratings)
- 5 stars81.19%
- 4 stars15.17%
- 3 stars2.41%
- 2 stars0.63%
- 1 star0.58%
AS
Mar 9, 2019
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?
PS
Jan 7, 2023
I would highly recommend this course for someone who wants to get started into Deep Learning using TensorFlow. Do remember to work on some new projects after finishing this professional certificate.
From the lesson
Enhancing Vision with Convolutional Neural Networks
Welcome to week 3! In week 2 you saw a basic Neural Network for Computer Vision. It did the job nicely, but it was a little naive in its approach. This week we鈥檒l see how to make it better, as discussed by Laurence and Andrew here.
Taught By
Laurence Moroney
Instructor