Complete Tensorflow 2 and Keras Deep Learning Bootcamp (Udemy.com)

Learn to use Python for Deep Learning with Google's latest Tensorflow 2 library and Keras!

( 312 Reviews )

Created by: Jose Portilla

Produced in 2021

What you will learn

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

Quality Score

Content Quality

Video Quality

Qualified Instructor

Course Pace

Course Depth & Coverage

Overall Score : 94 / 100

Course Description

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, includingNumPy CrashCoursePandas Data Analysis Crash CourseData Visualization CrashCourseNeural Network BasicsTensorFlow BasicsKeras Syntax BasicsArtificial Neural NetworksDensely Connected NetworksConvolutional Neural NetworksRecurrent Neural NetworksAutoEncodersGANs - Generative Adversarial Networks Deploying TensorFlow into Productionand 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. TensorFlows 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 performanceIt 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!
Who this course is for:
Python developers interested in learning about TensorFlow 2 for deep learning and artificial intelligence

Time: 19h

Instructor Details

Jose Portilla

4.7 Rating
312 Reviews

Jose Marcial Portilla has a BS and MS in Mechanical Engineering from Santa Clara University andyears ofexperience as a professional instructor and trainer for Data Science and programming. He has publications and patents in various fields such as microfluidics,materials science, and data science technologies. 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 theability to analyze data, as well as present the data in clear and beautiful visualizations. Currently he works as the Head of Data Science for Pierian Data Inc.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 contact him on LinkedIn for more information on in-person training sessions or group training sessions in Las Vegas, NV.

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Reviews

4.7

312 total reviews

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By Alireza Zarghamnezhad on 11/14/2020

This course is one of the most completed course which I see in my journey because here you can find all the information which you should gain for being familiar with AI and ML.

By Balaji Sundararaman on 11/14/2020

Superb. Very High quality of content and explanations.

By Jaro . on 11/14/2020

I highly recommend the course. It is consciously prepared and contains clear explanations. There is necessary theoretical information that allows understanding the whole theory not only the coding/programming issue. The materials are clear and faultless. 5/5

By Shawn Taylor on 11/14/2020

Amazing Class. 2nd class I have taken with this instructor - easy to follow/comprehend. Thanks!

By Siddhesh Shelke on 11/7/2020

Jose Portilla is my favourite instructor.

By Malik Muaz zden on 11/7/2020

there should be more exercises

By Michal Jirk on 11/7/2020

The course is very well structured and the description of the topics is brilliant. I also love the exercises!

By Joshua Hruzik on 11/1/2020

Fantastic. Would have loved to learn how to create object detection.

By Tanmay Mitra on 10/27/2020

Brilliant start. As always with Jose.

By Oscar Dominguez Blanco on 10/22/2020

great

By Mercy Lard on 10/22/2020

The course gives a very detailed introduction to each topic including theory and examples. The sections are thorough and extremely well structured! The course material is also very well organised and well developed!

By Sampath Kovvali on 10/21/2020

half of the course is about machine learning and deeplearning which is another course copied from there, cannot be refunded because i have downloaded more than the limit :( .But remaining course is as usual (its awesome).