If you are a software developer who wants to build scalable AI-powered algorithms, you need to understand how to use the tools to build them.
In the Convolutional Neural Networks in TensorFlow course offered by Coursera in partnership with Deeplearning of the deeplearning.ai TensorFlow Specialization, you will learn advanced techniques to improve the computer vision model you built in Course 1. You will explore how to work with real-world images in different shapes and sizes, visualize the journey of an image through convolutions to understand how a computer “sees” information, plot loss and accuracy, and explore strategies to prevent overfitting, including augmentation and dropout. Finally, Course 2 will introduce you to transfer learning and how learned features can be extracted from models.
The Machine Learning course and Deep Learning Specialization from Andrew Ng teach the most important and foundational principles of Machine Learning and Deep Learning. This new deeplearning.ai TensorFlow Specialization teaches you how to use TensorFlow to implement those principles so that you can start building and applying scalable models to real-world problems. To develop a deeper understanding of how neural networks work, we recommend that you take the Deep Learning Specialization.
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- Exploring a Larger Dataset
- Augmentation: A technique to avoid overfitting
- Transfer Learning
- Multiclass Classifications
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- 1 months
Start dates & application deadlines
DisciplinesInformatics & Information Technology Computer Sciences Machine Learning View 618 other Short Courses in Computer Sciences 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.
- Course 1 of the TensorFlow Specialization, Python coding, and high-school level math are required. ML/DL experience is helpful but not required.
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InternationalFreeTuition FeeBased on the tuition of 0 USD for the full programme during 1 months.
NationalFreeTuition FeeBased on the tuition of 0 USD for the full programme during 1 months.
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.
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.