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Learner Reviews & Feedback for Convolutional Neural Networks in TensorFlow by DeepLearning.AI

4.7
stars
8,024 ratings

About the Course

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....

Top reviews

MS

Nov 12, 2020

A really good course that builds up the knowledge over the concepts covered in Course 1. All the ideas are applicable in real world scenario and this is what makes the course that much more valuable!

RB

Mar 14, 2020

Nice experience taking this course. Precise and to the point introduction of topics and a really nice head start into practical aspects of Computer Vision and using the amazing tensorflow framework..

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301 - 325 of 1,245 Reviews for Convolutional Neural Networks in TensorFlow

By George M

Dec 23, 2020

Very good course in providing the basics on how to make a multi-class classifier with limited data.

By Francisco P E

Oct 21, 2020

The labs are really helpful to understand the concepts! so far the labs that I have liked the most!

By Deepak K

Oct 14, 2019

The course is really amazing in the way it is taught. Perfect combination of practice and guidance.

By Abdelrahman M

Dec 15, 2020

I hope you give more sessions before the last assignment it needs more explanation for the details

By 全玉湖

Aug 2, 2019

These wonderful courses help me learn a lot, and I really want to thank the teacher and the staff.

By Malik H

Jan 3, 2022

Amazing. I have learned many things. I really like because this involves practical implementation

By Rohan P

Jul 12, 2020

This course was absolutely fantastic! Very well explained. Great content. Fun, hand-on exercises.

By Chandrasekhara S V

May 10, 2020

Very good course. Thanks Laurence Moroney for detailed explanation and comprehensive assignments.

By Dan R

May 8, 2020

The amount of crisp detail to this course is one of the standout features of this specialization.

By Richard S

Sep 15, 2019

Great course digging into convnets, augmentation, transfer learning and multiclass classification

By Biranchi N N

Jul 31, 2019

Excellent course on CNN. Learnt about Transfer Learning, Fine tuning and Image Data Augmentation.

By George Z

Apr 18, 2020

Look at Rock paper scissors issue stuck at epoch 1 and preprocessing of the last sign mnist lab.

By Dave P

Jan 25, 2020

Laurence does a great job. Very easy to understand. Andrew, as always, provides great insight.

By Mohamed j P

Jul 5, 2020

Its a great learning. You will acquire main skills like Transfer learning, Image Augmentation .

By Pablo L

Feb 19, 2021

I am anxious to start working on the next level of DNN, Natural Language Processing here I go!

By Yoon-Kit Y

Oct 1, 2020

The final exercise is a curveball - make sure you understand the fundamentals taught early on!

By Barka T

Jan 20, 2020

I learnt a lot through this course, object detection and recognition with tensorflow made easy

By Shashank T

Jan 2, 2020

This will help in understanding the basics and will enable the individual to work effectively.

By DIPTESH B

Oct 21, 2020

It was a good course but I think the graded notebooks should have more detailed instructions.

By YAN B

Jun 22, 2020

Great presentation and practice sets. Need to improve the quality of explanation of the code.

By Sai V A

May 22, 2020

This is the best course if you want to learn the basics of using Tensorflow and Deep Learning

By Lydia N

Jan 2, 2020

Amazing course, a fast overview on how to facilitate TensorFlow for computer vision problems.

By Saad S

Jun 10, 2022

This course sharpened my skill on how to read, organize and feed in image data to my model.

By Lokesh B

Apr 24, 2020

A very helpful course covering the basics of CNN in TensorFlow. This is just the first step.

By KFDing

Sep 3, 2020

This course focuses a lot on practices and spreads the topic on the codes. I like this way.