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:

Zeyad Hailat

[karapureddyjaswanthreddy]

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

[prathapkb]

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

[MOUADKARMOUN-qp]

hello i have a problem when i run the code with same data that you give, i got NaN value for

[melissa]

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

[vedikaadhiman]

Thank you for this explanatory tutorial.

[mitajanaiitm]

while running the code I am getting all loss values as NaN, filepath I have mentioned as suggested in runtime checkpoint_path =