\mathbf{\Sigma}_k = \frac{1}{N_k}\sum_{n=1}^N\gamma(z_{nk})(\mathbf{x}_n-\bm{\mu}_k)(\mathbf{x}_n-\bm{\mu}_k)^T\\具体的对矩阵求偏导方法可以参考【Deep Learning:Foundations and Concepts】判别函数、决策论、生成式模型、判别式模型、矩阵求导。最后我们尝试找到令对数似然最大...
Bag of words Autoregressive models Transformer Language Models Decoder transformers Sampling strategies Encoder transformers LoRA Transformer是深度学习最重要的模型之一,它基于注意力机制,允许网络对不同的输入赋予不同的权重。之所以Transformer被称为Transformer,是因为它将一组在某个空间表示的向量变换(transform)到另外...
Supervised learningFPGAIn the last few years, the deep learning (DL) computing paradigm has been deemed the Gold Standard in the machine learning (ML) community. Moreover, it has gradually become the most widely used computational approach in the field of ML, thus achieving outstanding results ...
In the last few years, the deep learning (DL) computing paradigm has been deemed the Gold Standard in the machine learning (ML) community. Moreover, it has gradually become the most widely used computational approach in the field of ML, thus achieving outstanding results on several complex cog...
Part 1 focuses on introducing the main concepts of deep learning.Part 2provides historical background and delves into the training procedures, algorithms and practical tricks that are used in training for deep learning.Part 3covers sequence learning, including recurrent neural networks, LSTMs, and en...
In the last few years, the deep learning (DL) computing paradigm has been deemed the Gold Standard in the machine learning (ML) community. Moreover, it has gradually become the most widely used computational approach in the field of ML, thus achieving outstanding results on several complex cog...
We also introduce basic concepts of deep learning including convolutional neural networks. Then, we present a survey of the research in deep learning applied to radiology. We organize the studies by the types of specific tasks that they attempt to solve and review the broad range of utilized ...
Part 1 focuses on introducing the main concepts of deep learning. Future posts will provide historical background and delve into the training procedures, algorithms and practical tricks that are used in training for deep learning. Core Concepts ...
To train the model, a deep learning framework feeds multiple batches of input data (for which the actual label values are known), applies the functions in all of the network layers, and measures the difference between the output probabilities and the actual known class labels of the training ...
Week 4 Quiz Key concepts on Deep Neural Networks(第四周 测验 – 深层神经网络) \1. What is the “cache” used for in our implementation of forward propagation and ba