With Hands-On Neural Network Programming with C#, get a strong foundation of neural networks with access to various machine learning and deep learning libraries. Real-world case studies illustrating various neural network techniques and architectures used by practitioners. (Limited-time offer)
Topics included: A Quick Refresher • Building Our First Neural Network Together • Decision Trees and Random Forests • Face and Motion Detection • Training CNNs Using ConvNetSharp • Training Autoencoders Using RNNSharp • Replacing Back Propagation with PSO • Function Optimizations: How and Why • Finding Optimal Parameters • Object Detection with TensorFlowSharp • Time Series Prediction and LSTM Using CNTK • GRUs Compared to LSTMs, RNNs, and Feedforward networks
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Publisher: Packt Publishing
Published: September 2018
File size: –
Number of pages: 328
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Free as of 10/10/2019.