Deeplearning.ai Deep Learning Specialization
Doing this specialisation is probably more than the first step into Deep learning. It builds a fundamental understanding of the field. But going further, you have to practice a lot.
A person who has some basic understanding of maths, matrices and programming can benefit from this specialization and can have a good starting point to apply deep learning. On the other hand, the course can be a bit too basic for people who already have some experience in machine learning and deep learning.
Specification: Deeplearning.ai Deep Learning Specialization
|Free Trial (in days)|
|Duration (in months)|
|What will you learn?|
Artificial Neural Network, Backpropagation, Convolutional Neural Network, Deep learning, Facial Recognition System, Hyperparameter, Hyperparameter optimisation, Inductive Transfer, Long Short-Term Memory (ISTM), Machine Learning, Multi-Task Learning, Python Programming, Recurrent Neural Network, Tensorflow
|Programming Language Used|
1. Neural Networks and Deep Learning – Introduction to deep learning, Neural Networks Basics, Shallow neural networks, Deep Neural Networks.
|Graded quizzes & assignments|
Arabic, Chinese, English, French, Japanese, Korean, Portuguese (Brazilian), Spanish, Turkish, Ukrainian, Vietnamese
7 reviews for Deeplearning.ai Deep Learning Specialization
- Taught by Andrew Ng. Andrew’s ability to clarify complicated topics in a very understandable ways is amazing. He goes deeper into the mechanics, why things work the way they work and also some of the theories behind them.
- He makes you feel motivated to learn.
- There is a YouTube version of the course, and you don’t need to pay for it, but you would only have access to the videos.
- If you are a strict hands-on learner, this specialization is probably not for you.
- It lacks the practical implementation. No end-to-end coding projects.
- Bit too basic for people who already have some experience in machine learning and deep learning.
- Data preparation is not taught.
Vivek mankar –
Finally completed Specialization in deep Learning by deeplearning.ai. It was a great experience.
Noopur Gupta –
It has been incredible achieving the “Deep Learning Specialization” on Coursera by deeplearning.ai. 🎉
Thanks to Andrew Ng for his great efforts in providing a deep dive into strong fundamentals and various state-of-the-art architectures and algorithms in such a simple format with fun assignments. 🙇♀️
#deeplearning #neuralnetworks #ai #specialization #artificialintelligence #machinelearning #tensorflow #keras #python #coursera #coronalockdown
Sarthak garg –
Finished Andrew Ng’s Deep Learning Specialization by deeplearning.ai on Coursera. I must say, this Deep Learning Specialization is amazing and I genuinely loved it. It is dedicated to teaching you state of the art techniques and how to build them yourself. Prof. Andrew, in his inimitable style, teaches the concepts such that you understand them very well and thus is able to internalise. That is the key. If you’re a software developer who wants to get into building deep learning models or you’ve got a little programming experience and want to do the same, this course is for you. #artificialintelligence #coursera #machinelearning #deeplearning #AI #ANN #CNN #RNN #computervision #naturallanguageprocessing #datascience #python #tensorflow #keras #specialization
Abid Muin –
“Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning” is the first course of “TensorFlow in Practice” specialization from deeplearning.ai in Coursera.
I’ve learned about how to use TensorFlow in various cases, how to tweak different parameters and implement different approaches to increase the accuracy of the model i.e. minimize the loss.
I really enjoyed this course and looking forward to the next ones.
#coursera #onlinecourse #ai #artificialintelligence #ml #machinelearning #deeplearning #specialization #python
Utkarsh Srivastava –
Finished Andrew Ng’s Deep Learning Specialization by deeplearning.ai on Coursera.
I must say, this Deep Learning Specialization is amazing and I genuinely loved it. It is dedicated to teaching you state of the art techniques and how to build them yourself. Prof. Andrew, in his inimitable style, teaches the concepts such that you understand them very well and thus is able to internalize. That is the key.
If you’re a software developer who wants to get into building deep learning models or you’ve got a little programming experience and want to do the same, this course is for you.
#artificialintelligence #andrewng #coursera #machinelearning #deeplearning #AI #ANN #CNN #RNN #computervision #naturallanguageprocessing #datascience #python #tensorflow #keras #specialization
Fulong Tam –
Successfully completed deep learning specialization on Coursera offered by deeplearning.ai. It is a good fundamental course to start your deep learning path.
Previously I involved myself in a deep learning research project related to computer vision field. However, without any prior knowledge on this field, I decided to take this specialisation to broaden my horizons. I learnt how to design the neural network from scratch, understood that the distribution of dataset will affect the model accuracy, fine-tuned the model to get better performance, applied different models into my research project such as VGG16, Generative Adversarial Privacy, ResNet.
Currently I am looking for full time summer internship (may – aug) related to the area of Computer Vision/ Recommendation System/ NLP. I am highly interested in this expertise and I hope I can devote my knowledge to this area in the future. Please pm me if there is any opportunity.
#deeplearning #artificialintelligence #computervision #coursera #ntu #eee #recommendationsystem #NLP #internship
Ihor Shylo –
Just completed 5-months Deep Learning Specialization provided by deeplearning.ai on Coursera. Thank you very much Andrew Ng for making difficult stuff easy, fun programming exercises and great experience! I definitely recommend this degree to anyone who is interested in #deeplearning #ai #machinelearning and #datascience.