Description
Apress India Applied Deep Learning A Case-Based Approach To Understanding Deep Neural Networks by Michelucci
Chapter 1: Introduction.- Chapter 2: Single Neurons.- Chapter 3: Fully connected Neural Network with more neurons.- Chapter 4: Neural networks error analysis.- Chapter 5: Dropout technique.- Chapter 6: Hyper parameters tuning.- Chapter 7: Tensorflow and optimizers (Gradient descent, Adam, momentum, etc.).- Chapter 8: Convolutional Networks and image recognition.- Chapter 9: Recurrent Neural Networks.- Chapter 10: A practical COMPLETE example from scratch (put everything together).- Chapter 11: Logistic regression implement from scratch in Python without libraries.