Complete Guide to TensorFlow for Deep Learning with Python (Udemy.com)

Learn how to use Google's Deep Learning Framework - TensorFlow with Python! Solve problems with cutting edge techniques!

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Created by: Jose Portilla

Produced in 2022

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Course Description

deep learning Awards Best Paid Course

This course will guide you through how to use Google's TensorFlow 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 framework in a way that is easy to understand. Other courses and tutorials have tended to stay away from pure tensorflow and instead use abstractions that give the user less control. Here we present a course that finally serves as a complete guide to using the TensorFlow framework as intended, while showing you the latest techniques available in deep learning!

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

Neural Network Basics
TensorFlow Basics
Artificial Neural Networks
Densely Connected Networks
Convolutional Neural Networks
Recurrent Neural Networks
AutoEncoders
Reinforcement Learning
OpenAI Gym
and much more!
There are many Deep Learning Frameworks out there, so why use TensorFlow?

TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. TensorFlow was originally developed by researchers and engineers working on the Google Brain Team within Google's Machine Intelligence research organization for the purposes of conducting machine learning and deep neural networks research, but the system is general enough to be applicable in a wide variety of other domains as well.

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 machine learning guru today! We'll see you inside the course!

Who this course is for:
Python students eager to learn the latest Deep Learning Techniques with TensorFlow

Beginner Level

Time: 14h

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Instructor Details

Jose Portilla

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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 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 the ability 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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By Timor Israeli on 7/26/2020

It is a good match to me.
Some feedback:
1. I would have spent more time on basic mathematical background (e.g. - matrix multiplication, some other pillars in linear algebra, etc...)
2. The time it takes to exercise is at least twice, more likely thrice or even more the time it takes to just play the lectures. It could be useful if you ask for users feedback for the time it takes them to exercise each lecture, and then provide some data for the average (e.g. - the course is 14 hours, most users who exercise all parts, complete it in 55 hours (or, whatever the average is)

By Joed Henrique Paes on 7/14/2020

It have been an amazing experience for me. I'm learning and understanding with high efficiency by the instructions of the teacher. Congratulations!

By Sangeetha Sahu on 7/20/2020

I liked the course and its content. Do understand that this course needs a pre-qualification or atleast familiarity with the technical language. I come with a business background, so for me to come to speed i may have a needed a beginner's, intermediate and an advanced learning curriculum. But i love the instructors narration flow and technical expertise of flowing through the content. Thank you!!

By Damian Campo on 6/27/2020

There are theoretical gaps in his explanations. Some code along examples are fine but there are some topics that could go quicker as they were previously introduced during the lectures.

By Markus Auf der Mauer on 4/1/2020

A great introduction to TensorFlow and the various types of deep learning networks available. Different APIs are explained to generate the models. The course gives you the foundation to build and experiment on your own models and projects.

By Jonny McWilliams on 4/23/2020

Great match for my skillsets. The teacher is super knowledgeably. I love the udemy brand (and price) so much that I have bought more than 10 classes.

By Dennis Meiel on 8/8/2020

Some things were really hard to understand watching these videos. I needed more pictures and real cases.
But there were a lot of various code examples, that I can return to later, when I start to work with my own projects.

By Thomas Gmeinder on 4/5/2020

The tutor should take more care to explain key parts of the tensorflow code. Ideally by writing comments where the code is not obvious during the codealong.

By Niloofar Hosseinidadras on 5/2/2020

it would have been great of more details about actual evaluation of tensorflow model + issues solutions with tensorflow trained models was discussed

By Nikos Karaliolios on 5/16/2020

there was some bad coding and a couple of times the explanations didn't match what was actually being done.
learned a lot, but i think that my experience allowed me to spot mistakes and bad practices, so for a less experienced person the course could create problems

By Nikhil yadav on 6/5/2020

Nice course. Really appreciate the hard work he has done.
But in the CNN section the instructor has skipped many important things ,hence changing my review from 4.5 to 3.

By Amir Khan on 7/15/2020