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Opening Credits
1/11/2024
2 Preface
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3 Introduction to neural networks
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4 Building blocks of neural networks
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5 Feedforward neural networks
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6 Training neural networks
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7 Convolutional neural networks (cnns)
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8 Recurrent neural networks (rnns)
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9 Generative adversarial networks (gans)
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10 Transfer learning
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11 Comparison between artificial neural networks and human neurons
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12 Comparison between artificial neural networks and human neurons structural differences
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13 Comparison between artificial neural networks and human neurons functionality variations
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14 Comparison between artificial neural networks and human neurons learning mechanisms
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15 Comparison between artificial neural networks and human neurons parallel processing
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16 Comparison between artificial neural networks and human neurons biological inspiration in ai
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17 Step by step creation of a neural network using python
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18 Step by step creation of a neural network using python step 1: importing libraries
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19 Step by step creation of a neural network using python step 2: data preparation
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20 Step by step creation of a neural network using python step 3: building the neural network architecture
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21 Step by step creation of a neural network using python step 4: initializing weights and biases
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22 Step by step creation of a neural network using python step 5: choosing the loss function and optimizer
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23 Step by step creation of a neural network using python step 6: model training
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24 Step by step creation of a neural network using python step 7: evaluation and testing
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25 Step by step creation of a neural network using python step 8: model deployment
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26 Popular examples of neural network usage
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27 Popular examples of neural network usage image classification with cnns
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28 Popular examples of neural network usage sentiment analysis in natural language processing (nlp)
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29 Popular examples of neural network usage handwriting recognition with rnns
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30 Popular examples of neural network usage speech recognition using deep learning
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31 Popular examples of neural network usage autonomous vehicle control with deep reinforcement learning
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32 Popular examples of neural network usage predictive maintenance with time series analysis
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33 Popular examples of neural network usage fraud detection using anomaly detection models
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34 Popular examples of neural network usage generative adversarial networks (gans) for image generation
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35 Neural network optimization techniques
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36 Neural networks in real world applications
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37 Ethical considerations in neural network deployment
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38 Neural network interpretability
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39 Neuroevolution
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40 Neuromorphic computing
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41 Glossary
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42 Bibliography
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Ending Credits
1/11/2024