How I used a Keras sequential model to make predictions on a concrete dataset | by Tracyrenee | MLearning.ai | Medium
![3 ways to create a Keras model with TensorFlow 2.0 (Sequential, Functional, and Model Subclassing) - PyImageSearch 3 ways to create a Keras model with TensorFlow 2.0 (Sequential, Functional, and Model Subclassing) - PyImageSearch](https://pyimagesearch.com/wp-content/uploads/2019/10/keras_3_model_types_header.png)
3 ways to create a Keras model with TensorFlow 2.0 (Sequential, Functional, and Model Subclassing) - PyImageSearch
![SOLVED: “`python from keras.models import Sequential from keras.layers import Dense, LSTM from sklearn.modelselection import traintestsplit model = Sequential() model.add(LSTM(10, inputshape=(1,1))) model.add(Dense(1, activation="linear")) model ... SOLVED: “`python from keras.models import Sequential from keras.layers import Dense, LSTM from sklearn.modelselection import traintestsplit model = Sequential() model.add(LSTM(10, inputshape=(1,1))) model.add(Dense(1, activation="linear")) model ...](https://cdn.numerade.com/ask_images/d5a06db393f4405ab796442459997ccf.jpg)
SOLVED: “`python from keras.models import Sequential from keras.layers import Dense, LSTM from sklearn.modelselection import traintestsplit model = Sequential() model.add(LSTM(10, inputshape=(1,1))) model.add(Dense(1, activation="linear")) model ...
Develop Your First Neural Network in Python With Keras Step-By-Step | by Topgyal Gurung | Data Revolution | Medium
![3 Ways to Build Neural Networks in TensorFlow with the Keras API | by Orhan Gazi Yalçın | Medium | Towards Data Science 3 Ways to Build Neural Networks in TensorFlow with the Keras API | by Orhan Gazi Yalçın | Medium | Towards Data Science](https://miro.medium.com/v2/resize:fit:1400/1*WzwKtnA0LEhiCGdWTTpLaA.png)