Deep Learning with TensorFlow
Build skills and get hands-on experience using TensorFlow. Explore its main functions and operations, and investigate different types of deep architecture, including convolutional networks, recurrent networks, and autoencoders.
Kick-start your deep learning career with critical skills in this core technology.
Earn your certificate
Once you have completed this course, you will earn your certificate.Preview digital certificate
- IBM Certificate
About this course
- 05 Modules
- 05 Skills
- Discussion space
- 05 Hands-on labs
- 03 Exercises
- 28 Videos
- 05 Review questions
- 01 Final exam
- Recurrent neural network
- Restricted Boltzmann machine
- Deep belief network
Exercises to explore
- TensorFlow working
- Linear & logistic regression with TensorFlow
- Create a recurrent neural network
- Language modeling
- Recommendation system
- Deep belief network
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You'll learn with these experts
You will learn about TensorFlow's fundamental concepts, primary functions, operations, and execution pipeline. During the course, you'll discover how to utilize TensorFlow for curve fitting, regression, classification, and error function minimization. You will learn how to apply TensorFlow for backpropagation to tune the weights and biases while the neural networks are trained. You will also get a chance to explore deep architectures, such as convolutional networks, recurrent networks, and autoencoders.
In order to reduce the effort involved in creating diverse neural network models, TensorFlow provides pre-built functions within its sophisticated offering. It also provides valuable infrastructure and hardware, which distinguishes it as one of the major libraries in the deep learning domain.
TensorFlow is a deep learning-focused open-source library. It is used in the domain of machine learning. And it’s worth noting that though TensorFlow was created with deep learning in mind, it was originally designed for huge numerical computations.
Yes, Deep Learning with TensorFlow has options for mentoring. Check the payment plans available for more details.
As part of our mentoring service, you will have access to valuable guidance and support throughout the course. We provide a dedicated discussion space to ask questions, chat with your peers, and resolve issues. Depending on the payment plan you have chosen, you may also have access to live classes and webinars, which are an excellent opportunity to discuss problems with your mentor and ask questions.
Yes. This course is suitable for learners with both technical and non-technical backgrounds. However, having good knowledge of Python programming language and neural networks is an added advantage.
Yes. Deep Learning with TensorFlow course includes hands-on labs that you can complete during the course.
Yes. This course is 100% online. All you need is a good connection to the internet to access the course materials.
You will be able to access the course materials through your dashboard as soon as you enroll in this course.