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Complete Tensorflow 2 and Keras Deep Learning Bootcamp

Learn to use Python for Deep Learning with Google's latest Tensorflow 2 library and Keras!
4.7
☆☆☆☆☆ 4.7/5
(6,280 reviews)
37,854 students
Created by
Jose Portilla

10.0

Classbaze Grade®

10.0

Freshness

9.4

Popularity

9.9

Material

Detailed Analysis »

Learn to use Python for Deep Learning with Google's latest Tensorflow 2 library and Keras!
Go to course »
Platform: Udemy
Price: check current price
Video: 19h 12m
Language: English
Next start: On Demand

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Classbaze Rating

Classbaze Grade®

10.0 / 10

CourseMarks Score® helps students to find the best classes. We aggregate 18 factors, including freshness, student feedback and content diversity.

Freshness

10.0 / 10
This course was last updated on 6/2022.

Course content can become outdated quite quickly. After analysing 71,530 courses, we found that the highest rated courses are updated every year. If a course has not been updated for more than 2 years, you should carefully evaluate the course before enrolling.

Popularity

9.4 / 10
We analyzed factors such as the rating (4.7/5) and the ratio between the number of reviews and the number of students, which is a great signal of student commitment.

New courses are hard to evaluate because there are no or just a few student ratings, but Student Feedback Score helps you find great courses even with fewer reviews.

Material

9.9 / 10
Video Score: 10.0 / 10
The course includes 19h 12m video content. Courses with more videos usually have a higher average rating. We have found that the sweet spot is 16 hours of video, which is long enough to teach a topic comprehensively, but not overwhelming. Courses over 16 hours of video gets the maximum score.
The average video length is 6 hours 11 minutes of 54 TensorFlow courses on Udemy.
Detail Score: 9.8 / 10

The top online course contains a detailed description of the course, what you will learn and also a detailed description about the instructor.

Extra Content Score: 9.9 / 10

Tests, exercises, articles and other resources help students to better understand and deepen their understanding of the topic.

This course contains:

2 articles.
3 resources.
0 exercise.
0 test.

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About this course

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  What you need to START the course
  Who can start this course?
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  Coupons & Discounts
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About the course

This course will guide you through how to use Google’s latest TensorFlow 2 framework to create artificial neural networks for deep learning! This course aims to give you an easy to understand guide to the complexities of Google’s TensorFlow 2 framework in a way that is easy to understand.
We’ll focus on understanding the latest updates to TensorFlow and leveraging the Keras API (TensorFlow 2.0’s official API) to quickly and easily build models. In this course we will build models to forecast future price homes, classify medical images, predict future sales data, generate complete new text artificially and much more!
This course is designed to balance theory and practical implementation, with complete jupyter notebook guides of code and easy to reference slides and notes. We also have plenty of exercises to test your new skills along the way!
This course covers a variety of topics, including
•NumPy Crash Course
•Pandas Data Analysis Crash Course
•Data Visualization Crash Course
•Neural Network Basics
•TensorFlow Basics
•Keras Syntax Basics
•Artificial Neural Networks
•Densely Connected Networks
•Convolutional Neural Networks
•Recurrent Neural Networks
•AutoEncoders
•GANs – Generative Adversarial Networks
•Deploying TensorFlow into Production
•and much more!
Keras, a user-friendly API standard for machine learning, will be the central high-level API used to build and train models. The Keras API makes it easy to get started with TensorFlow 2. Importantly, Keras provides several model-building APIs (Sequential, Functional, and Subclassing), so you can choose the right level of abstraction for your project. TensorFlow’s implementation contains enhancements including eager execution, for immediate iteration and intuitive debugging, and tf.data, for building scalable input pipelines.
TensorFlow 2 makes it easy to take new ideas from concept to code, and from model to publication. TensorFlow 2.0 incorporates a number of features that enables the definition and training of state of the art models without sacrificing speed or performance
It is used by major companies all over the world, including Airbnb, Ebay, Dropbox, Snapchat, Twitter, Uber, SAP, Qualcomm, IBM, Intel, and of course, Google!
Become a deep learning guru today! We’ll see you inside the course!

What can you learn from this course?

✓ Learn to use TensorFlow 2.0 for Deep Learning
✓ Leverage the Keras API to quickly build models that run on Tensorflow 2
✓ Perform Image Classification with Convolutional Neural Networks
✓ Use Deep Learning for medical imaging
✓ Forecast Time Series data with Recurrent Neural Networks
✓ Use Generative Adversarial Networks (GANs) to generate images
✓ Use deep learning for style transfer
✓ Generate text with RNNs and Natural Language Processing
✓ Serve Tensorflow Models through an API
✓ Use GPUs for accelerated deep learning

What you need to start the course?

• Know how to code in Python
• Some math basics such as derivatives

Who is this course is made for?

• Python developers interested in learning about TensorFlow 2 for deep learning and artificial intelligence

Are there coupons or discounts for Complete Tensorflow 2 and Keras Deep Learning Bootcamp ? What is the current price?

The course costs $17.99. And currently there is a 82% discount on the original price of the course, which was $99.99. So you save $82 if you enroll the course now.
The average price is $14.5 of 54 TensorFlow courses. So this course is 24% more expensive than the average TensorFlow course on Udemy.

Will I be refunded if I'm not satisfied with the Complete Tensorflow 2 and Keras Deep Learning Bootcamp course?

YES, Complete Tensorflow 2 and Keras Deep Learning Bootcamp has a 30-day money back guarantee. The 30-day refund policy is designed to allow students to study without risk.

Are there any financial aid for this course?

Currently we could not find a scholarship for the Complete Tensorflow 2 and Keras Deep Learning Bootcamp course, but there is a $82 discount from the original price ($99.99). So the current price is just $17.99.

Who will teach this course? Can I trust Jose Portilla?

Jose Portilla has created 50 courses that got 905,198 reviews which are generally positive. Jose Portilla has taught 2,879,309 students and received a 4.6 average review out of 905,198 reviews. Depending on the information available, we think that Jose Portilla is an instructor that you can trust.

Learn everything about

Jose Portilla

Head of Data Science at Pierian Training
Jose Marcial Portilla has a BS and MS in Mechanical Engineering from Santa Clara University and years of experience as a professional instructor and trainer for Data Science, Machine Learning and Python Programming. He has publications and patents in various fields such as microfluidics, materials science, and data science. Over the course of his career he has developed a skill set in analyzing data and he hopes to use his experience in teaching and data science to help other people learn the power of programming, the ability to analyze data, and the skills needed to present the data in clear and beautiful visualizations. Currently he works as the Head of Data Science for Pierian Training and provides in-person data science and python programming training courses to employees working at top companies, including General Electric, Cigna, The New York Times, Credit Suisse, McKinsey and many more. Feel free to check out the website link to find out more information about training offerings.
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10.0

Classbaze Grade®

10.0

Freshness

9.4

Popularity

9.9

Material

Detailed Analysis »

Learn to use Python for Deep Learning with Google's latest Tensorflow 2 library and Keras!
Go to course »
Platform: Udemy
Price: check current price
Video: 19h 12m
Language: English
Next start: On Demand

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