AH
Apr 29, 2020
Amazing course, the lecturer breaks makes it very simple and quizzes, assignments were very helpful to ensure your understanding of the content. Hope for future learners you provide code model-answers
AA
Sep 1, 2019
I highly appreciated the interviews at the end of some weeks. I am currently trying to transition from a research background in Systems/Computational Biology to work professionally in deep learning :)
By Manivannan S
•May 28, 2024
This course will make one to gradually progress in their understanding of the Neural Networks and Deep Learning architecture. I'm sure by end of this course, you will feel confident in building your own Deep layered models to learn and train. Thanks for putting up this course for starters.
By Christopher C
•Jun 17, 2023
Andrew Ng is an excellent teacher. Students will leave the course with an understanding of the basic concepts behind neural networks (e.g., vectorization, forward propagation, backward propagation, gradient descent), and the ability to code their own neural net with multiple hidden layers.
By Paul M
•Aug 3, 2022
Vidéos de qualités, des explications précises et claires et des exercices notés très intéressants. Parfait pour bien comprendre les notions essentielles du deep learning, ainsi que les calculs effectués par les réseaux de neurones (lorsque l'on a un background mathématiques un peu avancé).
By Travis C
•Apr 25, 2022
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.
By Zhi L
•Jan 26, 2021
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.
By Abanoub P
•Sep 25, 2020
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
By Richard S
•Jun 18, 2020
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!
By Valentin T
•Mar 8, 2020
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!
By David E A
•Feb 7, 2020
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..
By Aman L
•Jun 29, 2019
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.
By Yu-Wen C
•Feb 15, 2019
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.
By Chikwendu O
•Sep 26, 2023
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.
By Dylan B
•Jul 2, 2022
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! :)
By Abraham M
•Jan 13, 2022
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.
By Basel O
•Oct 22, 2020
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.
By nandan s
•Sep 28, 2020
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.
By Navaneet.S.Kulkarni
•May 17, 2020
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.
By Athul T P
•May 13, 2020
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!
By Jay R
•Jan 1, 2019
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.
By Amit S
•Oct 11, 2018
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.
By Adam T
•Jul 27, 2018
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.
By Jerome M
•Nov 18, 2017
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
By Ahmed N
•Nov 5, 2017
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
By omar a r v
•Oct 21, 2017
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.
By Rajiv C
•Aug 16, 2017
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"