TensorFlow - Intro to TensorFlow for Deep Learning

Overview

On this accelerated Intro to TensorFlow for Deep Learning course, you’ll learn the foundation of Machine Learning (ML) and Deep Learning, and how they are applied to the TensoFlow platform.

In just 2 days, you’ll learn how to build deep-learning models as well as learn how to use your TensorFlow models in the real-world on mobile devives, in the cloud, and in browsers. You’l build knowledge on:

• Image recognition, object detection, text recognition algorithms with deep neural networks and convolutional neural networks
• Applying neural networks to solve natural language processing problems using TensorFlow
• Strategies to prevent overfitting, including augmentation and dropouts

At the end of the course, you’ll sit the Intro to TensorFlow for Deep Learning exam and achieve your certification. Through Firebrand’s Lecture | Lab | Review methodology, you’ll get access to courseware, learn from certified instructors, and train in a distraction-free environment.

Audience

If you’re a Software Developer, this course is ideal for you.

Four reasons why you should sit your course with Firebrand Training

1. You'll be trained and certified faster. Learn more on this 2-day accelerated course. You'll get at least 12 hours a day of quality learning time in a distraction-free environment
2. Your course is all-inclusive. One simple price covers all course materials, exams, accommodation and meals – so you can focus on learning
3. Pass first time or train again for free. Your expert instructor will deliver our unique accelerated learning methods, allowing you to learn faster and be in the best possible position to pass first time. In the unlikely event that you don't, it's covered by your Certification Guarantee
4. Study with an award-winning training provider. We've won the Learning and Performance Institute's "Training Company of the Year" three times. Firebrand is your fastest way to learn, with 134.561 students saving more than one million hours since 2001