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. 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 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
Computer Vision, Tensorflow, Machine Learning
Reviews
4.8 (18,292 ratings)
- 5 stars80.66%
- 4 stars15.58%
- 3 stars2.49%
- 2 stars0.64%
- 1 star0.61%
RD
Aug 13, 2019
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.
EL
Nov 13, 2022
The instructor was beneficial in delivering the course in a byte-sized format. Furthermore, the problem-based approach was a bonus, because I feel like earning the certificate was definitely worth it
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’ll see how to make it better, as discussed by Laurence and Andrew here.
Taught By
Laurence Moroney
Instructor
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