Advanced Deep Learning with Python: Design and implement advanced next-generation AI solutions using TensorFlow and PyTorch

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Advanced Deep Learning with Python: Design and implement advanced next-generation AI solutions using TensorFlow and PyTorch

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Design and implement advanced next-generation AI solutions using TensorFlow and PyTorch

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Chapter 1

Chapter 2

Chapter 3

Chapter 4

Chapter 5

Chapter 6

Chapter 7

Chapter 8

Chapter 9



Chapter 10

Chapter 11

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CodeInText generator discriminator combined

import matplotlib.pyplot as plt from matplotlib.markers import MarkerStyle import numpy as np import tensorflow as tf from tensorflow.keras import backend as K from tensorflow.keras.layers import Lambda, Input, Dense

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 Chapter 1

 —



Vector representation in

space

× ×

https:/ /stats.stackexchange.com/questions/198061/why-the-suddenfascination-with-tensors https:/ /www.tensorflow.org/guide/tensors https://pytorch. org/docs/stable/tensors.html

θ

The dot product of vectors. Top: vector components; Bottom: dot product of the two vectors

— θ

Cross product of two two-dimensional vectors

×

×

×

× ×

×



Venn diagrams of the possible set relationships









An example of a PMF

An example of a PDF

μ

μ

μ

Probability distributions

μ σ

Normal distribution

σ

μ

σ

Examples of normal distributions with different μ and σ values