Become a TensorFlow Certified Professional Developer
Become a TensorFlow Certified Professional Developer Courses Online from Udemy. Join the best training ground for AI mastery and gain the skills you need to become a TensorFlow Certified Developer.
Description
Become a TensorFlow Certified Professional Developer
In this course you will learn everything you need to know to master the TensorFlow Developer Certification.
We will start by studying Deep Learning in depth so that you can understand how artificial neural networks work and learn. And while covering the Deep Learning theory we will also build together three different Deep Learning models in TensorFlow and Keras, from scratch, step by step, and coding every single line of code together.
Then, we will move on to Computer Vision, where you will learn how to classify images using convolutions with TensorFlow. You will also learn some techniques such as image augmentation and transfer learning to get even more performance in your computer vision tasks. And we will practice all this on real-world image data, while exploring strategies to prevent overfitting, including augmentation and dropout.
Then, you will learn how to use JavaScript, in order to train and run inference in a browser, handle data in a browser, and even build an object classification and recognition model using a webcam.
Then you will learn how to do Natural Language Processing using TensorFlow. Here we will build natural language processing systems, process text including tokenization and representing sentences as vectors, apply RNNs, GRUs, and LSTMs in TensorFlow, and train LSTMs on existing text to create original poetry and more.
And finally, you will also learn how to build Device-based Models with TensorFlow Lite. In this last part we will prepare models for battery-operated devices, execute models on Android and iOS platforms, and deploy models on embedded systems like Raspberry Pi and microcontrollers.
What you’ll learn
TensorFlow Certified Professional Developer
- Understand Deep Learning Fundamentals
- Construct three different deep learning models using TensorFlow and Keras
- Classify images using convolutional neural networks (CNNs) in TensorFlow.
- Apply image augmentation and transfer learning to enhance model performance.
- Utilize strategies to prevent overfitting, including augmentation and dropout.
- Process text through tokenization and sentence vector representation.
- Apply Recurrent Neural Networks (RNNs), Gated Recurrent Units (GRUs), and Long Short-Term Memory (LSTM) networks to NLP tasks
- Create Device-Based Models with TensorFlow Lite
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Course Reviews
TensorFlow Certified Developer
Everything You Need to Know About Become a TensorFlow Certified Professional Developer
This course is a comprehensive and well-structured introduction to Become a TensorFlow Certified Professional Developer. The instructor, TFC Course and Ligency Team is a leading expert in the field with a wealth of experience in Development to share.
The course is well-structured and easy to follow, and the instructor does a great job of explaining complex concepts in a clear and concise way.
TensorFlow Certified Professional Developer Courses Online
The course is divided into sections, each of which covers a different aspect related to Data Science. Each module contains a series of video lectures, readings, and hands-on exercises.
The instructor does a great job of explaining each topic in a clear and concise way. He/She also provides plenty of examples and exercises to help students learn the material.
One of the things I liked most about this course is that it is very practical. The instructor focuses on teaching students the skills and knowledge they need to succeed in the real world. He/She also provides students with access to a variety of resources, including templates, checklists, and cheat sheets.
Another thing I liked about this course is that it is offered on Udemy. Udemy is a great platform for taking online courses because it offers a lot of flexibility for students. Students can choose to take courses at their own pace, and they can access the course materials from anywhere with an internet connection.
Udemy also offers a variety of payment options, so students can find a plan that works for them. The course also has a very active community forum where students can ask questions and interact with each other. The instructor is also very responsive to student questions and feedback.
Overall, I highly recommend this course to anyone who is interested in learning Become a TensorFlow Certified Professional Developer. It is a well-organized and informative course that will teach you the skills and knowledge you need to succeed.
