Mastering Neural Networks
Et Tu Code
"Mastering Neural Networks" is the ultimate guide for anyone eager to delve into the realm of neural networks. With a comprehensive approach, this audiobook navigates through the intricacies of neural networks, offering a deep understanding coupled with practical implementation techniques.
Beginning with the fundamentals, listeners are introduced to the core concepts of neural networks, exploring their architecture and mechanisms. From there, it delves into the building blocks, paving the way for a thorough comprehension of feedforward, convolutional, and recurrent neural networks.
But this audiobook doesn't stop at theory. It takes listeners on a journey through practical application, offering step-by-step guidance on creating neural networks using Python. Through popular examples and real-world applications, listeners gain insight into the diverse applications of neural networks, from image recognition to natural language processing.
Yet, "Mastering Neural Networks" goes beyond mere application. It explores optimization techniques, ethical considerations, and interpretability, ensuring that listeners not only build effective neural networks but also deploy them responsibly. From neuroevolution to neuromorphic computing, it provides a glimpse into the cutting-edge advancements shaping the future of artificial intelligence.
Whether you're a beginner seeking a solid foundation or a seasoned practitioner aiming to deepen your understanding, "Mastering Neural Networks" equips you with the knowledge and tools to navigate the dynamic landscape of neural networks with confidence and proficiency.
Duration - 3h 52m.
Author - Et Tu Code.
Narrator - Hellen Green.
Published Date - Friday, 12 January 2024.
Copyright - © 2024 Et Tu Code ©.
Location:
United States
Description:
"Mastering Neural Networks" is the ultimate guide for anyone eager to delve into the realm of neural networks. With a comprehensive approach, this audiobook navigates through the intricacies of neural networks, offering a deep understanding coupled with practical implementation techniques. Beginning with the fundamentals, listeners are introduced to the core concepts of neural networks, exploring their architecture and mechanisms. From there, it delves into the building blocks, paving the way for a thorough comprehension of feedforward, convolutional, and recurrent neural networks. But this audiobook doesn't stop at theory. It takes listeners on a journey through practical application, offering step-by-step guidance on creating neural networks using Python. Through popular examples and real-world applications, listeners gain insight into the diverse applications of neural networks, from image recognition to natural language processing. Yet, "Mastering Neural Networks" goes beyond mere application. It explores optimization techniques, ethical considerations, and interpretability, ensuring that listeners not only build effective neural networks but also deploy them responsibly. From neuroevolution to neuromorphic computing, it provides a glimpse into the cutting-edge advancements shaping the future of artificial intelligence. Whether you're a beginner seeking a solid foundation or a seasoned practitioner aiming to deepen your understanding, "Mastering Neural Networks" equips you with the knowledge and tools to navigate the dynamic landscape of neural networks with confidence and proficiency. Duration - 3h 52m. Author - Et Tu Code. Narrator - Hellen Green. Published Date - Friday, 12 January 2024. Copyright - © 2024 Et Tu Code ©.
Language:
English
Opening Credits
Duration:00:01:40
2 Preface
Duration:00:03:03
3 Introduction to neural networks
Duration:00:04:25
4 Building blocks of neural networks
Duration:00:04:58
5 Feedforward neural networks
Duration:00:03:47
6 Training neural networks
Duration:00:04:46
7 Convolutional neural networks (cnns)
Duration:00:04:36
8 Recurrent neural networks (rnns)
Duration:00:05:18
9 Generative adversarial networks (gans)
Duration:00:06:30
10 Transfer learning
Duration:00:06:43
11 Comparison between artificial neural networks and human neurons
Duration:00:03:33
12 Comparison between artificial neural networks and human neurons structural differences
Duration:00:05:45
13 Comparison between artificial neural networks and human neurons functionality variations
Duration:00:04:31
14 Comparison between artificial neural networks and human neurons learning mechanisms
Duration:00:07:06
15 Comparison between artificial neural networks and human neurons parallel processing
Duration:00:05:16
16 Comparison between artificial neural networks and human neurons biological inspiration in ai
Duration:00:04:29
17 Step by step creation of a neural network using python
Duration:00:05:32
18 Step by step creation of a neural network using python step 1: importing libraries
Duration:00:03:58
19 Step by step creation of a neural network using python step 2: data preparation
Duration:00:04:12
20 Step by step creation of a neural network using python step 3: building the neural network architecture
Duration:00:04:10
21 Step by step creation of a neural network using python step 4: initializing weights and biases
Duration:00:04:44
22 Step by step creation of a neural network using python step 5: choosing the loss function and optimizer
Duration:00:04:51
23 Step by step creation of a neural network using python step 6: model training
Duration:00:04:50
24 Step by step creation of a neural network using python step 7: evaluation and testing
Duration:00:05:38
25 Step by step creation of a neural network using python step 8: model deployment
Duration:00:05:04
26 Popular examples of neural network usage
Duration:00:10:52
27 Popular examples of neural network usage image classification with cnns
Duration:00:05:55
28 Popular examples of neural network usage sentiment analysis in natural language processing (nlp)
Duration:00:08:03
29 Popular examples of neural network usage handwriting recognition with rnns
Duration:00:05:53
30 Popular examples of neural network usage speech recognition using deep learning
Duration:00:06:13
31 Popular examples of neural network usage autonomous vehicle control with deep reinforcement learning
Duration:00:07:12
32 Popular examples of neural network usage predictive maintenance with time series analysis
Duration:00:08:35
33 Popular examples of neural network usage fraud detection using anomaly detection models
Duration:00:05:03
34 Popular examples of neural network usage generative adversarial networks (gans) for image generation
Duration:00:12:34
35 Neural network optimization techniques
Duration:00:04:30
36 Neural networks in real world applications
Duration:00:03:35
37 Ethical considerations in neural network deployment
Duration:00:05:09
38 Neural network interpretability
Duration:00:05:04
39 Neuroevolution
Duration:00:04:17
40 Neuromorphic computing
Duration:00:04:32
41 Glossary
Duration:00:04:18
42 Bibliography
Duration:00:09:09
Ending Credits
Duration:00:02:32