Part 05 - Constructing a Neural Network Models - Regression model with Python (Tensorflow & Keras)

Regression models.
1. Construct a multi-layer neural network model.
2. Tune the hyper-parameters for training a model.
3. Train a model on CPU or GPU.
4. Evaluate a model.
5. Save and load a model.
Notes:
All of the code in this tutorial implemented in Tensorflow 2.1.0.
The source code is available here:
github.com/zhailat/Introducti...
Zeyad Hailat

[@karapureddyjaswanthreddy6053]

This is one of the best lectures on this topic. Great work.

[@prathapkb123]

Wow... The best hands-on explanation in youtube so far. Good work bro. Thanks a lot. Learnt a lot!!

[@prywatny]

Excellent work! Thanks!

[@leventoz1408]

Very nice!!!

[@data_scientists_learning]

Thanks!!

[@melissa1343]

thank you, im wondering if we can get the code for this in github or something ?

[@user-gk9ez8rz6g]

hello i have a problem when i run the code with same data that you give, i got NaN value for loss mae mse mape val_loss val_mae val_mse val_mape