Deep Learning with Python: A Hands-on Introduction

Index

A

1. Activation functions

2. Adadelta

3. Adagrad algorithm

4. Adam

5. Adjointmode

SeeReverse mode

1. Artificial Intelligence (AI)

2. Autograd

3. Automatic differentiation

   1. fundamentals

      1. forward mode

      2. implementation

      3. operator overloading

      4. reverse mode

      5. source code transformation

   2. hands-on with Autograd

   3. numerical differentiation

   4. symbolic differentiation

B

1. Backward difference method

2. Bernoulli distribution

3. Bidirectional RNN

4. Binary classification

5. Binary cross entropy

C

1. Central difference approach

2. Composite functions

3. Computational graph

4. Computationally heavy code

5. Compute-intensive code

6. Constant error carousal

7. Convolution-detector-pooling block

8. Convolution Neural Networks (CNNs)

   1. convolution-detector-pooling block

   2. intuition

   3. operation

      1. fully connected layers

      2. intuition

      3. one dimension

      4. sparse interactions in layer

      5. tied weights ...