query: Why is my Tensorflow training and validation accuracy and loss exactly the same and unchanging?
positive_passages.docid: 6048
positive_passages.text: What should I do when my neural network doesn't learn?
negative_passages.docid: 129280
negative_passages.text: Neural networks: why do we randomize the training set?
negative_passages.docid: 150930
negative_passages.text: ANN regression accuracy and loss stuck
negative_passages.docid: 142609
negative_passages.text: No regularisation term for bias unit in neural network
negative_passages.docid: 82881
negative_passages.text: How to do data augmentation and train-validate split?
negative_passages.docid: 121682
negative_passages.text: Standardize Training and Validation Data
negative_passages.docid: 84407
negative_passages.text: How to judge if a supervised machine learning model is overfitting or not?
negative_passages.docid: 78589
negative_passages.text: Why mini batch size is better than one single "batch" with all training data?
negative_passages.docid: 156475
negative_passages.text: Validation Error less than training error?
negative_passages.docid: 136197
negative_passages.text: Normalizing the final weights vector in the upper bound on the Perceptron's convergence
negative_passages.docid: 24750
negative_passages.text: Are unbalanced datasets problematic, and (how) does oversampling (purport to) help?
negative_passages.docid: 95412
negative_passages.text: Tensoring is not left exact
negative_passages.docid: 135987
negative_passages.text: Better accuracy with validation set than test set
negative_passages.docid: 89077
negative_passages.text: Bootstrapped confidence intervals: different values at every computation?
negative_passages.docid: 81502
negative_passages.text: Getting different output from seemingly identical calculations
negative_passages.docid: 107366
negative_passages.text: How to set class weights for imbalanced classes in Keras?
negative_passages.docid: 12304
negative_passages.text: State-of-the-art algorithms for the training of neural networks with GRU or LSTM units