paktiger

InvalidArgumentError: Matrix size-incompatible: In[0]: [1408,1], In[1]: [5,5] [[{{node loss/crf_1_loss/MatMul_1}}]]

3

history = model.fit(X_tr, np.array(y_tr), batch_size=32, epochs=5, validation_split=0.1, verbose=1) I have tried the above command and I am getting the following errors: Train on 3495 samples, validate on 389 samples Epoch...

anyone can assist me what is the mean of these features? And how we can customize it or add more features features = { 'bias': 1.0, 'word.lower()': word.lower(), 'word[-3:]': word[-3:],...

**System information** - OS Platform and Distribution (e.g., Linux Ubuntu 16.04): Windows 10 - TensorFlow version and how it was installed (source or binary): Version: 2.7.0 - TensorFlow-Addons version and...