In five courses, you will learn the foundations of Deep Learning , understand how to build neural networks, and learn how to lead successful machine learning projects. You will learn about Convolutional networks, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/He initialization, and more.
You will work on case studies from healthcare, autonomous driving, sign language reading, music generation, and natural language processing. You will master not only the theory, but also see how it is applied in industry. You will practice all these ideas in Python and in TensorFlow, which we will teach at this Deep Learning offered by Coursera in partnership with Deeplearning.
You will also hear from many top leaders in Deep Learning, who will share with you their personal stories and give you career advice.
AI is transforming multiple industries. After finishing this specialization, you will likely find creative ways to apply it to your work.
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- Neural Networks and Deep Learning
- Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
- Structuring Machine Learning Projects
- Convolutional Neural Networks
- Sequence Models`
More Details on Coursera Plus:
- Learn Anything: Explore any interest or trending topic, take prerequisites, and advance your skills
- Save money: Spend less money on your learning if you plan to take multiple courses this year
- Flexible Learning: Learn at your own pace, move between multiple courses, or switch to a different course
- Unlimited Certificates: Earn a certificate for every learning program that you complete at no additional cost
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- 4 months
Start dates & application deadlines
DisciplinesEducation General Engineering & Technology Machine Learning View 59 other Masters in Education in United States
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We are not aware of any academic requirements for this programme.
We are not aware of any English requirements for this programme.
- Some related experience required.
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You can choose from hundreds of free courses, or get a degree or certificate at a breakthrough price. You can now select Coursera Plus, an annual subscription that provides unlimited access. For specializations there is a 7-day Free Trial. If you invite a friend to get started on Coursera you will both get 50% off a course or the first month of a Specialization subscription.
Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project.
Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.
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Apply and win up to €10000 to cover your tuition fees.