Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Course Outline
Introduction
- TensorFlow 2.x vs previous versions -- What's new
Setting up Tensoflow 2.x
Overview of TensorFlow 2.x Features and Architecture
How Neural Networks Work
Using TensorFlow 2.x to Create Deep Learning Models
Analyzing Data
Preprocessing Data
Building a Model
Implementing a State-of-the-Art Image Classifier
Training the Model
Training on a GPU vs a TPU
Evaluating the Model
Making Predictions
Evaluating the Predictions
Debugging the Model
Saving a Model
Deploying a Model to the Cloud
Deploying a Model to a Mobile Device
Deploying a Model to an Embedded System (IoT)
Integrating a Model with Different Languages
Troubleshooting
Summary and Conclusion
Requirements
- Programming experience in Python.
- Experience with the Linux command line.
Audience
- Developers
- Data Scientists
21 Hours
Testimonials (4)
The training was organized and well-planned out, and I come out of it with systematized knowledge and a good look at topics we looked at
Magdalena - Samsung Electronics Polska Sp. z o.o.
Course - Deep Learning with TensorFlow 2
Trainer's knowledge and the fact they were very approachable. They could easily convey important knowledge
Mateusz Stachyra - Samsung Electronics Polska Sp. z o.o.
Course - Deep Learning with TensorFlow 2
I liked that we covered the basics too
Tomasz - Samsung Electronics Polska Sp. z o.o.
Course - Deep Learning with TensorFlow 2
The trainer explained the content well and was engaging throughout. He stopped to ask questions and let us come to our own solutions in some practical sessions. He also tailored the course well for our needs.
