![3 ways to create a Machine Learning model with Keras and TensorFlow 2.0 (Sequential, Functional, and Model Subclassing) | by B. Chen | Towards Data Science 3 ways to create a Machine Learning model with Keras and TensorFlow 2.0 (Sequential, Functional, and Model Subclassing) | by B. Chen | Towards Data Science](https://miro.medium.com/v2/resize:fit:2000/1*bXrGNFfiUVg9vWfArfem7Q.png)
3 ways to create a Machine Learning model with Keras and TensorFlow 2.0 (Sequential, Functional, and Model Subclassing) | by B. Chen | Towards Data Science
Develop Your First Neural Network in Python With Keras Step-By-Step | by Topgyal Gurung | Data Revolution | Medium
![python - Keras model.predict function not giving similar results as model. evaluate - Stack Overflow python - Keras model.predict function not giving similar results as model. evaluate - Stack Overflow](https://i.stack.imgur.com/ZwIZq.jpg)
python - Keras model.predict function not giving similar results as model. evaluate - Stack Overflow
![keras model.evaluate() progress bar WAY too long by default · Issue #32320 · tensorflow/tensorflow · GitHub keras model.evaluate() progress bar WAY too long by default · Issue #32320 · tensorflow/tensorflow · GitHub](https://user-images.githubusercontent.com/14865017/64515840-a7742680-d2ed-11e9-973f-488e72f1c440.png)
keras model.evaluate() progress bar WAY too long by default · Issue #32320 · tensorflow/tensorflow · GitHub
![tensorflow - How to evaluate model while the data splitted manually in deep learning? - Stack Overflow tensorflow - How to evaluate model while the data splitted manually in deep learning? - Stack Overflow](https://i.stack.imgur.com/8U27V.png)
tensorflow - How to evaluate model while the data splitted manually in deep learning? - Stack Overflow
![Keras Project - Iris Flower Identification - Step 6 - Evaluate the Model | Automated hands-on| CloudxLab Keras Project - Iris Flower Identification - Step 6 - Evaluate the Model | Automated hands-on| CloudxLab](https://cxl-web-prod-uploads.s3.amazonaws.com/public/pagedown-uploads/a2db4e249e08e8b9e13b86ff7c154d769c813794.png)
Keras Project - Iris Flower Identification - Step 6 - Evaluate the Model | Automated hands-on| CloudxLab
![CuDNNLSTM and LSTM model weights loading, model.evaluate() issue · Issue #9463 · keras-team/keras · GitHub CuDNNLSTM and LSTM model weights loading, model.evaluate() issue · Issue #9463 · keras-team/keras · GitHub](https://user-images.githubusercontent.com/10580847/36577526-73071ae2-181d-11e8-94ce-338d4c3a3264.png)