糖心vlog官网观看

The course really drills into the maths behind ML and Andrew Ng breaks it down into very understandable chunks. My only recommendation would be to ensure your Python is pretty solid beforehand as the course does not guide much with the scripting for the assignments so if you do not know Python well you might get quite lost at times, as I did.

Forever in awe of Professor Ng's style of instruction, learning has never felt this fun and rewarding! This course gave me a whole new perspective on some of the things I know about deep neural networks, and was a great start to the Deep Learning Specialization. Eagerly looking forward to taking the rest of the courses in this specialization!

I've completed another great course by Andrew Ng. After his ML course, this was a pretty good neural network revision and practice on Python. I can't express how grateful I am to Andrew and 糖心vlog官网观看's team to provide these great courses for students who need financial aid options. Hopefully, I'll pay for these great courses once I find a job.

It was amazing. Andrew sir is really good and this course is also made to be understood by non-AI professionals. I wanted to know about the basics of AI, so I took the basic AI knowledge course called "AI for everyone". Then I found myself interested in learning more. so I took this specialization. Thank you for helping me gain AI knowledge.

Have gone through few online courses on this topic but left all of them midway cause i was not getting the insights and in depth math background of neural networks that i desired to acquire but this course designed and taught by a legend just overwhelmed me with more than what i expected..A great course for stepping into deep learning..Thanks

Amazing course by Andrew NG. Topic was made very interesting to help develop understanding on how NN/DL works . Really liked the Implementation structure that focused on designing and developing the modular structure/functions to enable building own network, rather than on programming. Looking forward to further courses in the specialization.

This course gave me a lot of insight into how neural networks work bu going in depth into the math behind these structures. I am a type of person who doesn't like to use libraries until I can understand the code and what it does and this course allowed me to transition into using libraries like tensorflow without going against what I believe.

If ML/DL is highly sought after skill in the industry, then definitely this course should stand as highly sought when compared with every other courses available around the globe. To me, highlights are the deep knowledge that Prof. Andrew posses, and the way he presents. I believe it took lot of efforts to prepare all programming assignments.

I took this course to gain intuition in how deep learning works and I achieved my learning objectives. Andrew's teaching style is just amazing. You have to get the concept provided you pay attention.

I have learned so much in this course and I am looking forward to achieving great things in the world of AI today.

Thank you Andrew and team.

I am a person who wants to know all the details so it took me a little while because I was busy looking at derivations and reasons for why we use non-linear activations etc. That aside, the course is very to the point and the programming assignments are amazingly helpful. I can't recommend it enough! Plus you get to make a cat identifier ;)

1.After week 2 , did not received any quiz inside the lecture video . {those are really useful.}

2.Keep an option to add notes rather than taking screenshot/recording .

3.keep an option to comment in between lecture and direct towards discussion forums , basically keep discussion forum as a open sidebar for every lecture will be great option .

This course is a great head start for a beginner to deep learning. The concepts are explained clearly and the programming exercises gave me the confidence to learn further.

A few suggestions: Please include pdf files of the lecture slides for reference. Kindly try to ensure the matrix multiplication compatibility while writing all equations.

Thank you very much. Your teaching made me understand more. But sometimes I feel that it's a little too early . What I like the most about this course is the exercises. You can design the exercises very well. At first I was determined to study the only free course. But now I change my mind, I want to study all of your courses

Best regards

It's an amazing introduction to neural networks and one of the best courses I have seen on the subject. Most courses ignore the maths behind neural networks and just focus on the coding part of it. This course went into the right amount of detail helped me learn the fundamentals really well. I hope to build upon it with the upcoming courses.

While all explanations of material are very clear and nicely presented, there were a couple of things I did not like:

1)While this specialization was designed to be standalone, the first course is completely covered in Andrew's ML course.

2)Too much time spent discussing logistic regression

3)Programming assignments have too much 'hand holding'

I really liked this course. It gives you a good understanding of what deep learning ist. The videos are very good. The only thing I have to say is that I felt the programming assignments were a bit too "follow the recipe", didn't allow too much "self-thinking". But I did get the chance to try a lot with the code I wrote after I submitted it.

Great course ! However, word of advice, do not underestimate the level of complexity. Make sure to listen to the lectures at a least a couple of times and dedicate at least twice the amount of recommended time. The lectures are excellent, and the homework and assignments are well organized and really does help understand the concepts better.

Great class to practice your machine learning skills. Intermediate general programming skills and knowledge of python is required. Andrew does a very slow and careful approach so it might be seem slow to those with stronger comprehension. Thankfully though, it's an online class so fastforwarding the parts you are familiar with are an option.

This course is very recommended, especially for beginners who want to build a good understanding of deep learning. The materials are delivered detailly but not confusing, some concepts are delivered repeatedly but not boring, instead making me easy to understand and to remember them. Great! Love it! I continue to the next course, Course 2.

Great Course to start with AI/Machine Learning... I had absolutley no experience in that before. What helped me was my understanding in Matrix calculation for the Math behind it.

I recommend to get the course with access to the Lab. Without that you might miss the most usefull 80% of the course (at least for me with no experience in coding).

This is an amazing course for someone who wants to understand the nuances of deep learning. The course is well structured to give you a solid foundation in machine learning. For someone like me who has learned most of ML online from different sources, this course has helped me to put everything together and develop a solid foundation in DL.

A nice beginner-level course. As for me, a student who has learned deep learning before, the course content will seem too easy, but what fascinates me is the assignments. I really like to build a DNN myself without using TensorFlow or Pytorch. By writing the backprop yourself, you will truly understand the internals of deep learning models.

It was just great! Although I do have a background in Matlab/Simulink, I easily followed assignments in Python language. I killed two birds with one stone (Deep learning with Python). I really appreciate such a great learning environment. I sincerely would like to thank Andrew Ng for very clear and step by step explanations, he was awesome.

A perfect introductory course that is meant to take you from zero knowledge of Deep Learning to being able to train your own deep neural network. Gives you a better understanding of the fundamental math that happens behind screen and some cool programming assignments to work on. There is no better introductory course on the topic out there.

I really enjoyed this class! Andrew does a great job of focusing his discussion on the basics of deep learning, and he clearly communicates the key ideas in four weeks using python, numpy and Jupyter notebooks.

Note that I took his "Machine Learning" course prior to this one, and I think it should probably be a prerequisite for this course.