GH
I very happy the way course is designed , since i am beginner , need more hands on and after the course also , if Rhyme is accessible then it would be great help

In this 2-hour long project-based course, you will learn the basics of using Keras with TensorFlow as its backend and use it to solve a basic image classification problem. By the end of this project, you will have created, trained, and evaluated a Neural Network model that will be able to predict digits from hand-written images with a high degree of accuracy. You also will have learned the fundamentals of neural networks, TensorFlow, and Keras. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

GH
I very happy the way course is designed , since i am beginner , need more hands on and after the course also , if Rhyme is accessible then it would be great help
AA
really informative & simple explanations. Increases your confidence in applying the techniques.
SM
Really nice project,But instructions are not properly because u not said how to install jupyter notebook and tensorflow.This are the basic instructions.Thank u...
AR
An exellent short course which a total newbie like me was able to fully understand. The instructor was amazing in explaining.
OK
Project Explanation was very nice.I have understand all the things taught in the course.There is no need of improvement.
MG
The following course helps me a lot on understanding neural network basics with a simple dataset.
AS
Good Course, with a nice way to get started with Tensorflow & Keras! Would recommend some prior knowledge of NNs and ML to feel familiar :D
SD
As these are for the beginners, you need to just mention the basic requirements so that people can dig deeper into it otherwise i like your presentation
MS
if you want to learn machine learning and deep learning, i will strongly recommend this course.
PJ
Easy to follow and to get back to hands on fluency if you have some background already, if not it's a good start as well.
VP
The course is very well structured and explained. It is a very good course for the beginners to understand the image classification problem and build their first Machine learning project.
PA
It was really helpful specially the part where one can code and learn at the same time through ryme
Showing: 20 of 130
This project provides an introductory level of learning classification algorithms. However, there are insufficient explanations for each step as the instructor only types without elucidating the concept behind it. It makes me feel like I am doing fill in the blanks.
Very well made course. You have to do the lab all at one sitting, so you need a good 2 hours or so. He really walks you through it and you get a good idea of how these models are created, trained, and tested. Thanks!
Just like the title of this course, it's completely basic. A little bit of more theory could have been explained but that was not a problem for my case. Well explained project. Liked it.
really informative & simple explanations. Increases your confidence in applying the techniques.
It is not great if you want to start learning image classification with Tensorflow.
This course provides a good overview on the basics of Tensorflow and Keras by doing a project.
During the learning process I do find myself replicating the commands without a more complete understanding of the libraries and modules that were used. Instructor is knowledgeable but maybe needs to slow down as to allow participants to process new info and at same time to key in the codes in the notebook, which sometimes lag.
Overall a good project to get a feel on using TensorFlow
Really enjoy this project. This course(Project) offered by Coursera was highly informative and practical. The instructors presented complex concepts in a clear and understandable manner, catering to learners of all levels.The hands-on exercises and projects allowed me to gain valuable experience in applying various image processing techniques.
Thank you
This is a excellent course. The best guided project that I've done in Coursera so far. Full of explanations, the instructor provides an excellent theoretical background, and the project is very interesting. I will look for other projects with Amit Yadav. The man knows what he is doing...
The concepts that are raised in the project are well explained by Amit sir. Since we all know this project is also known as the 'Hello World' of deep learning, so by completing this project I can say that I have entered into the deep learning world.
It is what it says.
They take you through the entire process of doing an image class project. Decent explanations for each line. The file mailed in the end. If you want a practical orientation, this is the course.
Exceptionally good for beginners to understand Neural Networks in Image Classification. Highly recommended as the instructor's explanation is so good that you would end with knowledge and satisfaction!.
Perfect for beginners to understand basics of Neural Networks for Image classification. Instructor made sure that all the details of classes used are detailed with necessary demonstrations
The course is very well structured and explained. It is a very good course for the beginners to understand the image classification problem and build their first Machine learning project.
A very simple, smart and effective course on Image Classification with Tensorflow. The Instrucor for this course was outstanding. This course will help me a lot in future.
Good Course, with a nice way to get started with Tensorflow & Keras! Would recommend some prior knowledge of NNs and ML to feel familiar :D
Best explantion of the concepts , Very clear and Smoothly guided along by the Instructor. Fully satisfied with the Content of the course.
The instructor explains it very nicely.
Good course to understand the basic classification of the image using TensorFlow & Keras
An exellent short course which a total newbie like me was able to fully understand. The instructor was amazing in explaining.
Easy to follow and to get back to hands on fluency if you have some background already, if not it's a good start as well.
Project Explanation was very nice.I have understand all the things taught in the course.There is no need of improvement.