Very good lectures and available notes make it easy to go back and reference material. Programming assignments and tests really help solidify concepts. Would probably recommend an intro python course or other material to suppliment the coding basics for people who are very new to python.

This course is fabulous! Strongly recommend it. The design is reasonable and easy to follow. Andrew is a great director to illustrate the complicated concepts. And there are many details in the guidance for assignments. I feel so lucky to take this course and satisfied with what I learned.

andrew ng thank you for this course and for your effort in this course, this course is very helpful and very important for beginners. i will complete this deep learning specialization ,as i think it will give me much knowledge about machine learning , deep neural network and deep learning

This is probably the best course I've taken so far on Deep Learning and Neural Networks. The explanations were all very clear and understandable, making the process of learning very intuitive. Thank you, Andrew Ng and the other instructors for delivering such a valuable course on Coursera!

This course was a very lightweight, very understandable introduction to machine learning. Going from Logistic regression to L-Layer NN was really not as hard as I would have expected. Practical exercises have provided hands-on example on how to program and apply machine learning. Loved it!

Is the 2nd course I take from Dr. Andrew Ng, since I like a lot the way he explains the concepts, personally the optional videos were the ones that I enjoyed the most, the intuition of back propagation formulas and the videos with the heroes of machine learning was very pleasant to watch..

Very elaborate. It will be little difficult to someone who is new to ML but Andrew Ng has given his best to explain the toughest of concept very lucidly. I recommend basic prior knowledge of calculus is must even though Andrew Ng has mentioned not to worry to those who don't know calculus.

The course introduces the fundamental and basic idea of deep learning, including the naive knowledge, the mathematical equations, pros and cons, etc. I really learn a lot from this course, and of course I will enroll the next course. Can't wait to explore more secrets about deep learning.

It's an awesome course overall. Being a beginner, i found it hard because I didn't realise the intermediate level difficulty at first but I was able to pull through. Explanations were made as should and I appreciate every lecture. I would definitely be signing up for the next one. Thanks.

This was a fantastic introduction to neural networks! I had only seen their architecture roughly sketched in a YouTube video, but had never been formally introduced to them. I am a senior chemical engineering student and highly recommend this skillset to anyone in an engineering field! :)

This course is perfect to take at your own pace. You will learn the basics for Neural Networks and have the chance to implement your own classifier as well. Calculus is not required to complete this course, but I would recomended knowing about derivates to fully understand some formulas.

This course was really one of the best I have ever taken. We all know that machine learning is not an easy subject, especially when it comes to explaining it to others. But with Andrew, things become much much easier. Many thanks to the professor and all TAs for this unforgettable course.

This is an awesome course to start with learning concepts of Neural Networks and Deep Learning. This course provides detailed as well as little details which may add values to our learning.

I would definitely recommend everyone who is interested in deep learning should opt for this course.

Liked the way of teaching.

The exercise notebooks helped a lot to gain experience in python implementation.

Vectorized way of implementing algorithms is wonderful and also functions for each step will teach how to achieve modularization of code for future usages.

Highly satisfied. Thank You.

It was a beautiful venture learning the different aspects of Deep Learning. I need to brush up my Python skills and improve them a lot! Andrew is an amazing teacher and my experience with him was tremendously enthusiastic! Looking forward to the upcoming courses of Deep Learning, eagerly!

Professor Ng makes the subject matter incredibly accessible for anyone interested in pursuing a greater understanding of neural networks. The programming assignments are robust and help you get a grasp of the data structures and algorithms that underpin neural networks and deep learning.

A course that is very well structured and Prof Andrew NG goes into the right level of depth to explain the concepts exceptionally well.

The programming exercises are also very well structured and provide a lot of confidence to the learner about the ability to implement the concepts learnt.

I was already somewhat familiar with neural networks, but the lectures made things really click. I found the course to realistically fit alongside a full-time job. While the homework was fairly easy (nearly all code except key lines was provided), I appreciate that they weren't stressful.

Very good translation into Python environment of the previous Coursera course made upon Octave. Class is very intuitive and Andrew a perfect teacher. The grader has some problem... as usual. But nothing critical and the benefits of this course are huge. Thanks Coursera and DeepLearning.ai

Best Course i have ever taken on deep learning and it gave me a lot of knowledge about neural networks also i learned a lot about python broadcasting and numpy library and how it's very important to well preprocess the data before building the model the coding techniques were also amazing

En un ambiente muy agradable he aprendido de una forma clara y amigable el uso de las herramientas necesarias par ala implementación de una red neuronal en el entorno python, animo a todas las personas a participar en estos cursos y conocer el gran potencial de la inteligencia artificial.

As usual, Professor Ng makes a complicated subject so easy and he explains the concept very well. I like the quizzes and the programming assignment which reinforce your understanding and tests the aspect of the subject which are quite critical. I like the section "Heroes Of Deep Learning"

Provides an in depth understanding of a Neural Network. Coming from an engineering background, I was didn't know much about Deep Learning. However, the mathematics and the explaination help me understand this subject more. This is exactly what I am looking for, compared to other subjects

Professor Andrew Ng has been absolutely a delight...!! The course was well structured and it provided seamless transition from the famed Intro to ML course by Stanford University. Kudos to the Deep Learning AI team. Hope one day I will get to interact with him in-person.

- Rohan Kr. Gupta

Challenging but rewarding. Tested my math skills but explained the fundamentals of Deep Learning really well and gave me a better appreciation of how Neural networks work. The notebooks were especially helpful in applying those concepts to real-world problems and seeing tangible results.