Need help to port snippet from tflearn to keras
I have this snippet from this guide, but i want to use tf.contrib.Keras instead of tflearn, can anybody help port this code. tf.reset_default_graph() net = tflearn.input_data(shape=[None, len(train_x)]) net = tflearn.fully_connected(net, 8) net = tflearn.fully_connected(net, 8) net = tflearn.fully_connected(net, len(train_y), activation='softmax') net = tflearn.regression(net) # Define model and setup tensorboard model = tflearn.DNN(net, tensorboard_dir='tflearn_logs') # Start training (apply gradient descent algorithm) model.fit(train_x, train_y, n_epoch=1000, batch_size=8, show_metric=True) model.save('model.tflearn') # loading model model.load('./model.tflearn') 1). https://chatbotsmagazine.com/contextual-chat-bots-with-tensorflow-4391749d0077
In ExponentialMovingAverage class in python/training/moving_averages.py, which op will first be executed, opt_op or maintain_average_op
How to properly freeze a tensorflow graph containing a LookupTable
Does Tensorflow simplify a computational graph?
Difference between tesorflow sparse_softmax_cross_entropy_with_logits and softmax_cross_entropy_with_logits?
Time series forecasting with exogenous variables using LSTM/RNN
TensorFlow New Op: AttributeError: 'module' object has no attribute 'custom_op'
How to Recognise multiple object in the same image
TensorBoard doesn't show all data points
Benchmark Keras model using TensforFlow Benchmark
Tensorflow Serving - Stateful LSTM
How to take the gradients of the center loss function described in tensorflow openface ?
TensorFlow: Why do parameters not update when GradientDescentOptimizer train step is run?
Keras using GPU vs CPU
Can I selectively augment subsets of data based on their labels?
tf.parse_example used in mnist export example
Running a trained TensorFlow model on a specific device