Python Neural Networks - Tensorflow 2.0 Tutorial - What is a Neural Network?

So what is a neural network? This python neural network tutorial series will discuss how to use tensorflow 2.0 and provide tutorials on how to create neural networks with python and tensorflow. This specific video is the introduction video in the series and discusses what a neural network is.

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Tags:
- Tech With Tim
- Pygame
- Tensorflow 2.0 Tutorial
- TensorFlow tutorial
- Neural networks python tutorial
- Neural Networks
- Python Tutorials

[sentdex]

Found TF 2.0 to be pretty sub par so far. May not impact this series, but a lot of the exciting changes to 2.0 either don't work, or it's insanely slow. Looking forward to 2.0 working as intended, and good luck with the series!

[shivamkumraa]

Hey this is my first interaction ever to Neural networks. Now I am very excited to learn more about it. Reason of mine increased interest is your awesome way of teaching. I hope you gonna continue this series. Lots of love from India 🇮🇳

[donjuan]

Tim I'm halfway through this playlist and I just wanted to say thank you. You do an amazing job presenting and describing your ideas and code. This has been a huge help in understanding how to implement AI.

[BlueFlash]

You sir are at the right time at the right "place". With your skill, determination and the talent of sharing your knowledge in a very patient and organized way, you could get a lot more subs in the future

[crassflam]

One way to think about non-linear activation and loss functions is that they give the neural network either more range or more precision in terms of exploring quantities and ratios. With an exponentially decreasing loss function like (f(square root of x)), the network gains the ability to make more precise corrections as it gets closer to a state of being optimized (which would contribute to gradient descent in addition to giving the network greater granular precision, if I understand correctly).

[saisreekarsunku]

bro you can explain the theory of neural networks with examples which makes it very interactive and easy to understand

[beastkidoooo]

This video should have gotten a million views !!! Really good video!!! Keep it up!!

[miguelpereira]

Actually, in the snake example if you moved right you would stay alive cause the tail would also move

[edisonfung]

what a fantastic channel! Just come here from the machine learning series. Thanks for all this hard work Tim!

[johnnygood]

One of the best explanations of neural networks I've seen on youTube.

[paolobassi]

Amazing! Please continue this series and python related stuff, you are one of the best about it in yt. Your channel will explode

[ritikjain]

Sentdex and Tim just makes my life AWESOME!

[victormiara]

Thank you !! This is so clear and interesting.
I look forward for the next videos

[purushottam]

Wasn't the sigmoid function brought in for logistic regression to simply classify the output into a 1 or -1??
The complexity aspect was new to me

[brute]

I just came back to this and your visual teaching style for understand is absolutely amazing, thank you!

[ishansharma]

The concepts were nicely introduced I think and anyone with freshman math can understand this.

[majidshirazi]

I've finished the machine learning tutorial and just started neural network, YOUR VIDEOS ARE GREAT, Thanks.
Could I ask if you have any plan about deep learning and pytorch?
thanks again for your nice videos.

[ArmanAvesta]

We need only one bias per neuron (b), right? We don't need multiple biases (b1, b2, b3, b4) per neuron, because all biases in a neuron add up to a single bias: b1 + b2 + b3 + b4 ... = b

[therainbird]

super excited to start this Lets Tim! <3

[clearmind]

Hey Tim, good job, just to remind, sigmoid functions range is (0, 1) and not (-1, 1)! Good luck.