2.1 A first look at a neural network 27
2.2 Data representations for neural networks 31
Scalars (0D tensors) 31 ■ Vectors (1D tensors) 31
Matrices (2D tensors) 31 ■ 3D tensors and higher-
dimensional tensors 32 ■ Key attributes 32
Manipulating tensors in Numpy 34 ■ The notion
of data batches 34 ■ Real-world examples of data
tensors 35 ■ Vector data 35 ■ Timeseries data or
sequence data 35 ■ Image data 36 ■ Video data 37
2.3 The gears of neural networks: tensor operations 38
Element-wise operations 38 ■ Broadcasting 39 ■ Tensor
dot 40 ■ Tensor reshaping 42 ■ Geometric interpretation
of tensor operations 43 ■ A geometric interpretation of deep
learning 44
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