query: Machine learning books covering neural networks / cnn / GAN
positive_passages.docid: 153725
positive_passages.text: Neural network references (textbooks, online courses) for beginners
negative_passages.docid: 152715
negative_passages.text: What is the definition of a "feature map" (aka "activation map") in a convolutional neural network?
negative_passages.docid: 82269
negative_passages.text: Backpropagation algorithm and error in hidden layer
negative_passages.docid: 98554
negative_passages.text: Deep NNs, backpropagation and error calculation
negative_passages.docid: 154336
negative_passages.text: Books about matroids
negative_passages.docid: 50274
negative_passages.text: The neural network is not learning properly
negative_passages.docid: 145653
negative_passages.text: Balanced sampling for network training?
negative_passages.docid: 136197
negative_passages.text: Normalizing the final weights vector in the upper bound on the Perceptron's convergence
negative_passages.docid: 86077
negative_passages.text: A few clarifications regarding convolutional neural networks
negative_passages.docid: 106029
negative_passages.text: How to prepare/augment images for neural network?
negative_passages.docid: 146426
negative_passages.text: Seeking Stack Exchange site for machine learning questions?
negative_passages.docid: 6048
negative_passages.text: What should I do when my neural network doesn't learn?
negative_passages.docid: 59720
negative_passages.text: What are appropriate methods for preparing categorical features for recurrent networks to ensure efficient backpropagation?
negative_passages.docid: 36499
negative_passages.text: Can a neural network learn a functional, and its functional derivative?
negative_passages.docid: 79824
negative_passages.text: Varied Activation Functions in Neural Networks
negative_passages.docid: 12304
negative_passages.text: State-of-the-art algorithms for the training of neural networks with GRU or LSTM units
negative_passages.docid: 62842
negative_passages.text: Most common method for deciding when to stop training a neural net on a batch