《The Strange Loop in Deep Learning》电子版地址

简介: The Strange Loop in Deep Learning

《The Strange Loop in Deep Learning》The Strange Loop in Deep Learning

电子书:

屏幕快照 2022-06-17 上午9.58.35.png

                
            </div>
目录
相关文章
|
4月前
|
机器学习/深度学习 人工智能 算法
【博士每天一篇论文-算法】Collective Behavior of a Small-World Recurrent Neural System With Scale-Free Distrib
本文介绍了一种新型的尺度无标度高聚类回声状态网络(SHESN)模型,该模型通过模拟生物神经系统的特性,如小世界现象和无标度分布,显著提高了逼近复杂非线性动力学系统的能力,并在Mackey-Glass动态系统和激光时间序列预测等问题上展示了其优越的性能。
34 1
【博士每天一篇论文-算法】Collective Behavior of a Small-World Recurrent Neural System With Scale-Free Distrib
|
4月前
|
机器学习/深度学习 算法 物联网
【博士每天一篇论文-算法】Overview of Echo State Networks using Different Reservoirs and Activation Functions
本文研究了在物联网网络中应用回声状态网络(ESN)进行交通预测的不同拓扑结构,通过与SARIMA、CNN和LSTM等传统算法的比较,发现特定配置的ESN在数据速率和数据包速率预测方面表现更佳,证明了ESN在网络流量预测中的有效性。
32 4
《40 Must Know Questions to test a data scientist on Dimensionality Reduction techniques》电子版地址
40 Must Know Questions to test a data scientist on Dimensionality Reduction techniques
98 0
《40 Must Know Questions to test a data scientist on Dimensionality Reduction techniques》电子版地址
《Deep Learning vs.Machine Learning-the essential differences you need to know!》电子版地址
Deep Learning vs.Machine Learning-the essential differences you need to know!
120 0
《Deep Learning vs.Machine Learning-the essential differences you need to know!》电子版地址
《Multi-Task Multi-Network Joint-Learning of Deep Residual Networks and Cycle-Consistency Generative Adversarial Networks for Robust Speech Recognition》电子版地址
Multi-Task Multi-Network Joint-Learning of Deep Residual Networks and Cycle-Consistency Generative Adversarial Networks for Robust Speech Recognition
109 0
《Multi-Task Multi-Network Joint-Learning of Deep Residual Networks and Cycle-Consistency Generative Adversarial Networks for Robust Speech Recognition》电子版地址
《Graph Neural Networks- Combing Deep Learning & Symbolic Reasoning》电子版地址
Graph Neural Networks- Combing Deep Learning & Symbolic Reasoning
91 0
《Graph Neural Networks- Combing Deep Learning & Symbolic Reasoning》电子版地址