After completion of this course I know which values to look at if my ML model is not performing up to the task. It is a detailed but not too complicated course to understand the parameters used by ML.
I really enjoyed this course. Many details are given here that are crucial to gain experience and tips on things that looks easy at first sight but are important for a faster ML project implementation
автор: Muhammad A k•
5/5.Thank you sir for helping me in my career.I recommend everyone to go through this course if you really want to learn detail about hyper parameter tuning , optimizers and regularization used to make neural network better. It helps to open black box of Neural network and know in detail about how all works.
автор: Renato L•
Excellent content and very well explained. Thanks for this amazing course.
The course cover the building blocks of a Neural network. Andrew (and his team) did a great job by organizing the content in an evolving way in which you have the chance to build the knowledge from each piece of a (deep) Neural Network.
автор: Bryan H•
Practical programming lessons, and well-paced enjoyable lectures.
Move tutorials on TensorFlow to Course 3, which was the most obscure part of the course. TensorFlow isn't as intuitive as other numerical toolboxes, so spending more time on the foundations of TensorFlow might reduce the learning curve.
автор: Megha G•
Intuitive, in-depth (while not losing the big picture), engaging and well structured, with amazing assignments to revise and solidify everything you learn in the videos. These courses are awesome! Just one suggestion: It might have been nice to have more intuitions on BatchNorm in the assignments. Thank you!
A wonderful AI course! In most Ai courses we could only learn some specific algorithms. In this course, however, we could learn beyond AI itself. There are many practical AI skills in this course like hyperparameter tuning, regularization method and optimization strategies! I benefit a lot from this course!
автор: Mojtaba H•
It covers very good tips and tricks to build and enhance deep learning model.
Andrew is the best teacher for ML and Deep Learning, he covers all theory and practice simultaneously.
In this course you can understand all mathematical intuitions and implementation of neural network from scratch by your own codes.
автор: B G•
Another great class taught by the incredible Prof. Ng! I have to admit there were time I felt a bit overwhelmed but by the time the course came to an end, I felt like everything "clicked". Very much looking forward to the next course and can't wait to dive deeper in ML frameworks. TensorFlow, here I come :D
автор: Krishna R•
It is a very good follow up course in this Specialization. It is about how we can improve our a accuracy/predictions by tuning hyperparameters, using better optimization techniques and it also talks about deep learning frameworks. Overall it was a good course. Thank You Andrew Ng for this wonderful course.
автор: Juan C B•
Good second course to understand how we can improve our deep learning models with a good hyperparameter selection, some regularization techniques to reduce overfitting such as dropout, l2, early stopping and some optimization techniques for when we have a large datasets like momentum, RMS prop, adam, etc..
автор: Rob v P•
This second course in the specialization is really great. I have gained a lot of insight in hyperparameter tuning and the reason why they work (or don't ;-). It is much easier now to understand what models are doing and why we need certain techniques. This is again one of the best courses for deep learning.
автор: Abdallah D•
Fantastic course providing a broad overview of hyperparameter tuning in deep neural networks. The introduction on TensorFlow is informative. Looking forward to the three remaining courses of this great specialization on machine leaning. Thanks Andrew and their assistants for putting those courses together!
автор: Daniel R B•
I really liked the course. The forum is very helpful navigating programming errors during the assignments.
A thing to improve would be to get the feedback from the forums to the lectures. Specially in corrections that should be made to the programming assignments that don't match the expected result. Thanks
автор: Steve S•
Provided a lot of deeper insights passed over in the previous course in the specialization. Between this course and the previous course, you feel like you have a very solid beginner's understanding of deep learning, but one that is also practical enough and comprehensive enough to start coding on your own.
автор: Marcin G•
Andrew Ng is a great teacher and will get you excited about improving deep networks. In this course you will get to know how to increase performance of your network. Essential course for deep networks specialists and amateurs. Additionally you will get to know most influential people befind the technology.
автор: Shashank S S•
All possible area of Improving Deep Learning models got covered in detail. I liked the lucid and intelligible way of explanation . Since the topics were vast to cover , I would recommend to get the course extended by 1 week with one more programming assignment on using tensor-flow with a capstone project.
автор: Vincenzo M•
This course will becoma a foundamental course for people that aim to work in the machine learning / deep learning area because it presents clearly the recent innovations in the deep learning. For production environment people will probably use open source framework, but this course clarify what is behind.
автор: Joshy J•
Excellent course if you are passioned about Deep Learning. Walk you through the most basics on how to tune the model parameters so that you can reach the highest accuracy for the model. The lecture is simple and well ordered. The TensorFlow introduction part is more exciting. Overall a wonderful course.
автор: Dimitrios L•
Excellent course! Not only does it address critical deep-NNs training issues providing a clear exaplanation around why these tunings are needed, but also provides some empirical advices (e.g. on level of importance on the hyper-parameters, typical values etc) that can be valuable when training depp NNs.
автор: Aaron B•
The only thing I wish for is a 'live chat' when an instructor is available, a IRC/slack/chat room for students to help each other, or faster response time when posting to the forums. Also the forums are a bit clunky (I don't remember all the reasons why), but the search allowed me to find useful posts.
автор: Shashank M•
This course offers a very quick introduction to methods that could be used to improve usage of deep nets from a practitioner's perspective. Although the mathematical details are not covered in depth, the material furnishes concise list of topics that could be researched upon for in-depth understanding.
This is a nice add-on to more basic courses about Neural Networks. It was great getting an understanding why regularization works and to see some different optimization schemes. Also interesting to see batch normalization rather than just normalizing the input data. I strongly recommend this course.
автор: Sachin W•
Amazing course, starts right off the bat with hyperparameters, regularization and tunings.
Studied about various optimization algorithms and normalization alongwith mini batches, also the TensorFlow framework.
Thank you to everyone involved in making this course. I highly appreciate what you've made us.
автор: Muhammad s k•
I always held an opinion that highly qualified instructors, specifically those holding doctorate degrees are not the good teachers because they can't teach students at their levels. But Sir Andrew Ng proved me wrong, he is a wonderful teacher and tries to explain the minute details.
Salute to you sir.
автор: Edoardo S•
Very impressive course, really well done and interesting. One suggestion: apart from the modelling part in the programming assignment, I would also introduce some coding about the computing of the results and the final cost plot (in all the programming assignment these parts are already pre-compiled)
автор: Shabie I•
Concepts buried deep in technical jargon and seemingly complex mathematical notation are laid out bare for everyone to understand.
Mr. Andrew Ng is a very special teacher. The humility and down-to-earth character also add immense value to the course. He makes you believe truly that you too can do it.