deep learning一共包含5门子课程,分别是:[神经网络和深度学习]、[改善深层神经网络:超参数调试、正则化以及优化]、[结构化机器学习项目]、[卷积神经网络]和[序列模型]。下面分析[卷积神经网络]课程:The basics of ConvNets部分的习题。 注:为了避免记答案,coursera上的习题每次进去都有所变化,不过大体都是差不多,...
Deep learning belongs to the broader family of machine learning methods and currently provides state-of-the-art performance in a variety of fields, including medical applications. Deep learning architectures can be categorized into different groups depending on their components. However, most of them ...
as one may expect, there are usually more layers in a deep learning framework than in your average multi-layer perceptron or standard neural network. We have some architectures that are 150 layers deep. Secondly, each layer of a CNN will learn multiple ...
预训练和微调在大模型出现之前就已经被广泛应用,比如在CNN领域,很多图像的应用都是用基于Imagenet的CNN预训练模型,比如VGG,Resnet,Inception。在LLM领域,我们现在常常听到OpenAI的GPT,Google的BERT和T5,Meta的Llama,国内清华大学的GLM等都是预训练模型;其他公司可以接入这些模型的API或基于开源模型进行Finetuning。亚马逊...
neural networks (CNNs), recurrent neural networks (RNNs), and graph neural networks (GNNs), among others. The second part focuses on the design of common point cloud learning networks, such as the PointNet series, point cloud transformers, and an efficient algorithm called Point Voxel CNN. ...
Starting with the basics of machine learning in R Deep learning is a subcategory of machine learning inspired by the structure and functioning of a human brain. In recent times, deep learning has gained a lot of traction primarily because of higher computational power, bigger datasets, and bette...
转自https://youtu.be/iKZzXisK1-Q?si=b0NVIGjA41HGgfSF 有能力请支持原作者作者:Luke Ditria 发布时间:2024年4月24日搬运:Aye10032 原简介: TIMESTAMPS: 0:00 - Introduction 1:02 - Explanation of sequential/time series data compared to single-point data. 2:00 - Introduction to predicting ...
Working on building a CNN step by step Day 36 (14-10-18) What is AlphaGoZero and intro to RL Learnt more about Google's ALphaGoZero and why it's such a big breakthrough Learnt the very basics of Reinforcement Learning Day 37 (15-10-18) Basics of Reinforcement Learning Learnt about Ba...
we thought we’d put together a quick introduction to the basics of Machine Learning and how it works. Note: This post is aimed at newbies - if you know a Bayesian model from a CNN, head on over to the research section ofour blog, where you’ll find posts on more advanced subjects....
What is image classification and how does it work in machine learning? Let's explore the algorithms and deep neural networks for image classification.