TensorFlow 2.0 Crash Course

Learn how to use TensorFlow 2.0 in this crash course for beginners. This course will demonstrate how to create neural networks with Python and TensorFlow 2.0.

⭐️ Course Contents ⭐️
⌨️ (0:00:00) What is a Neural Network?
⌨️ (0:26:34) How to load & look at data
⌨️ (0:39:38) How to create a model
⌨️ (0:56:48) How to use the model to make predictions
⌨️ (1:07:11) Text Classification (part 1)
⌨️ (1:28:37) What is an Embedding Layer? Text Classification (part 2)
⌨️ (1:42:30) How to train the model - Text Classification (part 3)
⌨️ (1:52:35) How to saving & loading models - Text Classification (part 4)
⌨️ (2:07:09) How to install TensorFlow GPU on Linux

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[TechWithTim]

Hope you guys liked it! If you want more machine learning and AI tutorials check out my channel 🔥

[neelanjanmanna]

Great tutorial so far, just a quick correction that the sigmoid activation function ranges between 0 and 1. What you had drawn was actually the tanh activation function, that ranges between -1 and 1. Cheers!

[jamiecybersecurity]

(0:00:00) What is a Neural Network?
(0:26:34) How to load & look at data
(0:39:38) How to create a model
(0:56:48) How to use the model to make predictions
(1:07:11) Text Classification (part 1)
(1:28:37) What is an Embedding Layer? Text Classification (part 2)
(1:42:30) How to train the model - Text Classification (part 3)
(1:52:35) How to saving & loading models - Text Classification (part 4)
(2:07:09) How to install TensorFlow GPU on Linux

[johnkeating]

I spent 3days to watch and figure out the basic theory behind this tutorial, thank you very much~!

[benhudelson]

Hey Tim, great content so far. I would recommend in future videos to reduce the point size on your pen so that your handwriting is a little clearer. Thanks for putting this together. Very well constructed explanations.

[maclacrosse]

you explain this better then most college professors do and it doesn't cost me my future in student loans

[-.i]

1:47:14 - The verbose parameter is a simple debugging tool which prints the status of epochs while the model is being trained. In the case, verbose=1 displays the epoch number with a little decoration. Please feel free to correct if any and add more info.

[cam]

Somebody has probably already answered this but "verbose" means descriptive. If your were to enable the verbose property on an object it would normally give a lot more details about something, whether that is debug information or just printing output. Also Great Video Tim! I am a big fan of the tutorials on cutting edge technology as they are difficult to find elsewhere :) Keep up the great work

[azizulhakim]

He became my favorite by saying he doesn't know what Verbose is.

[gaddafim]

⭐ course contents ⭐
(0:00:00) what is a Neural Network?
(0:26:34) Loading & Looking at Data
(0:39:38) creating a model
(0:56:48) using the model to make predictions
(1:07:11) Text Classification p1
(1:28:37) what is an Embedding Layer? Text Classification P2
(1:42:30) Training the model - Text classification P3
(1:52:35) saving & Loading Models - Text Classification 4
(2:07:09) How to install Tensorflow GPU on Linux
--

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[BenjaSerra]

for those who are having problem with the predict method, replace it with predict_classes:

[raiden]

By far (!) the best video i have found for beginners in neural networks. And i viewed a lot. Love it!
What killed me is the writing of numbers from the bottom to the top. Never seen writing numbers that way.

[TheDeadSource]

A lot of people are asking what versions of python and windows can be used to run TensorFlow 2.0. I've dug into this for you all. A lot of info is from the official site, some is from github issues and published articles regarding TF 2.0, so at the time of writing this should be accurate information.

First, operating systems. TF 2.0 was tested and is officially supported on the following *64-bit* systems:
* Windows 7 or later.
* Ubuntu 16.04 or later.
* macOS 10.12.6 (Sierra) or later - note that these versions do not offer GPU support.
* Raspbian 9.0 or later.

Python versions that are currently supported are:
* Python 3.6 (but NOT Python 3.7, despite its recent release.)
* Python 2.7.

[jermaineken]

Was using google collab to implement this tutorial. Thank you for the great content.

[samraeburn]

Best tensorflow tutorial ive ever seen, thanks for this one!

[shawnliu]

Newbie in almost every aspects in what is said in this video. Took me a whole day to get to 35:10. Had issues (1). downloading python. The correct version is python3.6.1 for tensorflow 2.0.0, to avoid "from google.protobuf.pyext import _message
ImportError: DLL load failed: The specified procedure could not be found." errors, (2). Tensorflow 2.0.0, not 2.0.0alpha0, to avoid many many many "future warnings" (3). "Cache entry deserialization failed, entry ignored", solved by opening command prompt as administrator! (4). many typo error from my own fault. Almost given up. Using windows10 pro, CPU, intel64. I know the problem relates to my special settings, but might happen to other new users. This is a great video for beginners, thou.

[mli]

i am 13 years old and don't speak and understand very much englisch, but i am now watching the video at 25 min and i have understand how neural networks work and every thing else expect the activation function, thanks

[Koche]

This tutorial is well put together. I was looking to learn more about neural nets and TensorFlow. this is perfect for a beginner in the field.

[davincy]

i have high school math and i understook what an activation function is so is very well explained!

[maoryatskan]

at 00:37:00 255 represents white and 0 represents black.
Great video! keep it up.