Learn to apply machine learning to your problems. Follow a complete pipeline including pre-processing and training.
On Completion of this course, you’ll:
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Be able to run deep learning models with Keras on Tensorflow 2 backend
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Understand how to feed own data to deep learning models (i.e. handling the notorious shape mismatch issue)
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Understand Deep Learning with minimal of math
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Understand and code Convolutional Neural Networks as well as graph-based deep models involving residual connections and inception modules
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Get tips on how to use Google’s GPUs to speed up your experiments for free
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Understand and use Keras’ functional API to create models with multiple inputs and outputs
This course is just apt for you in case you:
- Want to learn machine learning (this course is a soft introduction)
- Know machine learning and want to learn deep learning (this course focuses on deep learning)
- Know deep learning but needs help applying their knowledge in practice (this is a very applied course)
- Are comfortable with deep learning models but has trouble processing examples beyond the toy examples covered in typical courses (this course has a real-world case study and not just toy examples)
- Are a researcher or educator working in machine learning and want to move from theory to practice
Some exceptional benefits associated with this course enrolment are:
- Quality course material on Deep Learning with Tensorflow 2 and Keras
- Lifetime access to the course
- Instant & free course updates
- Access to all Questions & Answers initiated by other students as well
- Personalized support from the instructor’s end on any issue related to the course
- Few free lectures for a quick overview
It’s time for you to grab the opportunity and make the most out of this course.
Enroll today!!
Curriculum
- 8 Sections
- 28 Lessons
- 4 Hours
- Introduction3
- A bit of Theory4
- Installation & Set-UP2
- Say Hi to Keras3
- Real World Case Study: Predicting Protein Functions7
- Convolutional Neural Networks (CNN)4
- Graph Based Models3
- Finishing Touches2
I hold PhD in Computer Sciences and a PostDoc from the Max Planck Institute for Software Systems. I have been programming since early 2000 and have worked with many different languages, tools and platforms. I have an extensive research experience with many state-of-the-art models to my name. My research in Android security has led to some major shifts in the Android permission model.
I love teaching and the most important reason I upload online is to make sure people can find my content. If you have any problem with finances and you want to take my courses, please visit my site (link on the left). I am more than willing to give out coupons that will make the course more affordable for you.
You can see all the different areas I've worked with on my site as well as on my github page.
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