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!

Created by: Jose Portilla

Produced in 2021

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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

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Quality Score

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Overall Score : 94 / 100

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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

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Instructor Details

Jose Portilla

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 Nour Laaroubi on 10/1/2020

Amazing. Above expectations. Thank you for putting so much effort to make this class exceptional. Highly recommended. This is the real deal.

By Fahad Mattoo on 9/14/2020

The instructor have an amazing quality of transmitting information in simple word.
There are exercises for each and everything, so if you are being honest with yourself you will learn.
and a lot of helping data is also provided along with code files.
Even though towards the end the course became too fast and advance.

Great course, has taken me from 0 knowledge on machine learning, excluding what it is, to a working understanding, with the ability to implement machine learning into my own projects. Also, replies very quickly in the QnA section.

By Miroslav Radojevi on 8/14/2020

Practical course that satisfies expectations. Range of data/image analysis topics are covered with well structured and straightforward hands-on examples covering tensorflow and machine learning basics. Useful for those with previous python experience and some insight into machine learning.

By Ankit Kumar Gupta on 8/17/2020

Excellent course. The instructor is pretty cool and clear to what he means to say and also helps a lot in small installations also in a very detailed manner. Must know that deep learning is not a small field but this course will be very helpful if you are a beginner in DL and want to know TensorFlow and Keras libraries. The course is well suited for those also who are coming after doing Machine Learning. However, he covers ML but a separate course for ML and in this course will be pretty much clear.

By Paola Ghione on 6/21/2020

The course is very explicative and mathematically exhaustive. The voice and temper of the teacher are very pleasant. So enjoy this learning time!

By Eren Akel on 9/27/2020

It's a great course! It includes a lot of coding sections apart from the the theoretical knowledge. But I was familiar with the topics of the course before starting. So I suggest you to get a primary knowledge about ai or deep learning before take this course. It helps you to understand what's going on.

By Shubhendra Kumar on 7/3/2020

The course was very good especially from the perspective of trying hands on practical use cases of tensorflow 2.0 and keras. Must do course for people aiming to develop the foundational and conceptual platform of deep learning modelling involving application on real world implementation techniques. However slight improvement on theoretical explanation and implementation in sections on RNN and GANs could have made. Overall a good to do course.

By Victor Mensah on 9/22/2020

I think the instructor can do better as his organisation of the lectures are poor. He keeps chipping things in and his notebooks are not properly organized. That being said, it is a great course.

This course has taken me from knowing nothing in machine learning to being able to create deep leaning algorithms for use in the real world applications. I recommend this course to anyone who wants to have deeper understanding about deep learning. It has really being a great experience. Bravo

By Phillip Metta on 9/2/2020

very easy step by step to get everything prepared for the course. every lesson is explained very well and this is great to work side by side with the video lectures and perform the exercises/practice.

By Pritam Aich on 8/14/2020

Amazing coarse. Instructor have an in-depth knowledge on every topic taught. Easy to understand explanation and hands-on code examples are the best part. Using real world dataset as examples as well as coding exercises was an outstanding way to learn. Highly recommended coarse for anyone who is just starting in deep learning.