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Convolutional Neural Networks in TensorFlow, deeplearning.ai

4.8
(132 ratings)

Über diesen Kurs

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. In Course 2 of the deeplearning.ai TensorFlow Specialization, you will learn advanced techniques to improve the computer vision model you built in Course 1. You will explore how to work with real-world images in different shapes and sizes, visualize the journey of an image through convolutions to understand how a computer “sees” information, plot loss and accuracy, and explore strategies to prevent overfitting, including augmentation and dropout. Finally, Course 2 will introduce you to transfer learning and how learned features can be extracted from models. 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. The full deeplearning.ai TensorFlow Specialization will be available later this year, but you can enroll in the first two courses today. We recommend starting with Course 1: Introduction to TensorFlow for AI, ML, and DL....

Top-Bewertungen

von MH

May 24, 2019

A very comprehensive and easy to learn course on Tensor Flow. I am really impressed by the Instructor ability to teach difficult concept with ease. I will look forward another course of this series.

von CM

May 01, 2019

A patient and coherent introduction. At the end, you have good working code you can use elsewhere. Remarkably, the primary lecturer, Laurence Moroney, responds fairly quickly to posts in the forum.

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23 Bewertungen

von Kush Shah

May 24, 2019

It is one of the best courses likewise course 1.

von Muhammad Haroon

May 24, 2019

A very comprehensive and easy to learn course on Tensor Flow. I am really impressed by the Instructor ability to teach difficult concept with ease. I will look forward another course of this series.

von Prabesh Gautam

May 23, 2019

Okey.. So easy but okey

von Oleksiy Simkiv

May 23, 2019

Exellent tutorial for using Tensorflow and convolutional networks. Useful usage examples, interesting and challenging exercises. A few minor mistakes prevent five star grading. But please note that mistakes happen and we have to live with this :-). Nice work, looking forward for the next course of the specialization.

von Vaskul Vasyl

May 22, 2019

Great Course!

von Kim Kyllesbech Larsen

May 21, 2019

A brilliant hands-on course that really gets the student into ML with tensorflow / keras ... Also lots of kudos to our teacher Laurence for a great course.

von 田亮

May 20, 2019

this class is not difficult ,it is suitable for benginers of DL

von Subhadeep Dash

May 20, 2019

Very brief and precisely taught implementing various techniques in Convolution Neural Networks by using Tensorflow. Quite time saving and a good one to boost your skills.

von Na

May 20, 2019

Thanks Mr. Moroney! But the course is a little easy.

von Paweł Dudzic

May 15, 2019

Pretty basic level, aimed rather to beginners.