Arama Sonuçları - Retro Running

Deep Learning with TensorFlow and Keras - 3rd Edition : Build and Deploy Supervised, Unsupervised, Deep, and Reinforcement Learning Models. Yazar: Kapoor, Amita

İçindekiler: “…-- A real example: recognizing handwritten digits -- One hot-encoding (OHE) -- Defining a simple neural net in TensorFlow -- Running a simple TensorFlow net and establishing a baseline -- Improving the simple net in TensorFlow with hidden layers -- Further improving the simple net in TensorFlow with dropout -- Testing different optimizers in TensorFlow -- Increasing the number of epochs -- Controlling the optimizer learning rate -- Increasing the number of internal hidden neurons -- Increasing the size of batch computation -- Summarizing experiments run to recognizing handwritten digits -- Regularization -- Adopting regularization to avoid overfitting -- Understanding batch normalization -- Playing with Google Colab: CPUs, GPUs, and TPUs -- Sentiment analysis -- Hyperparameter tuning and AutoML -- Predicting output -- A practical overview of backpropagation -- What have we learned so far? …”
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