我们本次课程聚合了2018-2021四年度的课程,以2021年版本的课程为例,课程官网发布了课程主题,ShowMeAI 对其进行了翻译: Intro to Deep Learning(深度学习导论) Deep Sequence Modeling(循环神经网络) Deep Computer Vision(卷积神经网络) Deep Generative Modeling(深度生成建模) Deep Reinforcement Learning(强化学习) Li...
while epoch < n_epochs: model.train() # set model to training mode for x, y in tr_set: # iterate through the dataloaderoptimizer.zero_grad() # set gradient to zero x, y = x.to(device), y.to(device) # move data to device (cpu/cuda) pred = model(x) # forward pass (compute...
这是Ng吴恩达老师的全新Ai项目www.deeplearning.ai,早些已经学完他的ML课程,从此走了ML道路,现在开深度学习课程很开心 这篇主要是介绍深度学习 What is a neural network? Supervised Learning with NN Why is Deep Learning taking off? What is a neural network? 和ML课程一样,首先引出了房价预测的案例来展开 ...
深度学习(Deep Learning)指的是训练神经网络,有些时候神经网络的规模非常庞大。那么,神经网络究竟是什么呢?本次课程就回答了这个问题,并以预测房价为例讲解了神经网络相关的基础知识。 单神经网络 首先,假设有一组六套房子的数据集,房屋面积与房屋价格之间的关系如下图所示: 图1 房屋面积与价格数据集 那么,根据这个...
17 -- 26:12 App Math for Game Programmers: The Math of Deep Learning 20 -- 1:31:29 App MIT 6 S094 Introduction to Deep Learning and Self Driving Ca 18 -- 49:48 App Tutorial 9-10 - Transfer Learning and Unsupervised Learning | Deep Learning on 40 -- 1:11:34 App Deep Reinfor...
Intro to Deep Learning(深度学习导论) Deep Sequence Modeling(循环神经网络) Deep Computer Vision(卷积神经网络) Deep Generative Modeling(深度生成建模) Deep Reinforcement Learning(强化学习) Limitations and New Frontiers(深度学习前沿知识) Evidential Deep Learning(证据性深度学习和不确定性) ...
deep belief networksneurodegenerative diseasesIn today's scenario deep learning is the primarily used technique in Computer-Aided Diagnosis (CAD) for prediction of diseases. Deep learning has empowered the evolution of more data-driven solutions in the field of health informatics by authorizing automatic...
Evidential Deep Learning(证据性深度学习和不确定性) Bias and Fairness(人工智能偏见和公平) Learning for Information Extraction(用于信息抽取的深度 CPCFG) Taming Dataset Bias(通过域适应处理数据集偏差问题) Towards AI for 3D Content Creation(面向 3D 内容构建的 AI) ...
Recall this diagram of iterating over different ML ideas. Which of the statements below are true? (Check all that apply.) It is faster to train on a big dataset than a small dataset. Being able to try out ideas quickly allows deep learning engineers to iterate more quickly. ...
Introduction to Deep Learning software labs are designed to be completed at your own pace. At the end of each of the labs, there will be instructions on how you can submit your materials as part of the lab competitions. These instructions include what information must be submitted and in ...