Course Overview
The “TensorFlow for Deep Learning with Python” course is designed to help you gain knowledge of Deep Learning models using TensorFlow. You will learn the architectures of common deep learning models, implement them in TensorFlow 2.0 and learn to optimize them.
Prerequisites
Anyone interested in this program needs to have:
- Basic knowledge of Python, math
- Suggested: Basic understanding of AI, ML
Key Takeaways
- Basics of Deep Learning
- Learn how to build in TensorFlow 2.0:
- Multilayer Perceptron
- Convolutional Neural Network
- Recurrent Neural Network
- Generative adversarial network
- Auto Encoder
- Variational Autoencoder
- Re-enforcement Learning
- Metrics, model tuning, loss functions
- TensorFlow Lite
Target Audience:
- Mathematicians, computer scientists
- Anyone interested in AI, ML and TenorFlow 2.0
Included in this course
- Video Course26 Videos Available
- Introduction to deep learningTry now17m 20s
- Introduction to deep learningTry now17m 20s
Why Choose Us?
Online Course
3+ hours of Training Videos for all the objectives. You will be amazed by the way of explaining the concepts that are very easy to understand.
Course validity
Our Courses come with the 2 years of validity.
Experts Support
Our support team consists of Experts, ready to clarify all your questions.<
Quality
We provide all of the most up to date training materials possible, verified by industry experts. We update the questions frequently
Custom LMS
We Specialize in Customized LMS solutions tailored to meet your learning needs.
Updated Cloud courses:
Our learning resources are up-to-date for you to learn based on the recent changes from the cloud provider.
