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深度学习入门课、资深课、特色课、学术案例、产业实践案例、深度学习知识百科及面试题库

PaddlePaddle

02-12 17:00

The course, case and knowledge of Deep Learning and AI
深度学习入门课、资深课、特色课、学术案例、产业实践案例、深度学习知识百科及面试题库

Dive-into-DL-paddlepaddle3个子项

FAQ.md

README.md

docs21个子项

10-Attention Mechanisms7个子项

10.1Attention Cues.md

10.2nadaraya-waston.md

10.3attention-scoring-functions.md

10.4bahdanau-attention.md

10.5multihead-attention.md

10.6self-attention-and-positional-encoding.md

10.7transformer.md

11-Optimization Algorithms11个子项

11.10Adam.md

11.11Learning Rate Scheduling.md

11.1Optimization and Deep Learning.md

11.2Convexity.md

11.3Gradient Descent.md

11.4Stochastic Gradient Descent.md

11.5Minibatch Stochastic Gradient Descent.md

12-Computational-Performance7个子项

12.1Compilers and Interpreters.md

12.2Asynchronous Computation.md

12.3Automatic Parallelism.md

12.4Hardware.md

12.5Training on Multiple GPUs.md

12.6Concise Implementation for Multiple GPUs.md

12.7Parameter Servers.md

13-computer-vision14个子项

13.10Transposed Convolution.md

13.11Fully Convolutional Networks.md

13.12Neural Style Transfer.md

13.13kaggle-cifar10.md

13.14kaggle-dog.md

13.1Image Augmentation.md

13.2Fine-Tuning.md

13.3Object Detection and Bounding Boxes.md

13.4Anchor Boxes.md

13.5Multiscale Object Detection.md

13.6The Object Detection Dataset.md

13.7Single Shot Multibox Detection.md

13.8_RCNN.ipynb

13.9 semantic-segmentation-and-dataset.md

14-natural-language-processing-pretraining10个子项

14.10Pretraining BERT.md

14.1Word Embedding (word2vec).md

14.2Approximate Training.md

14.3The Dataset for Pretraining Word Embeddings.md

14.4Pretraining word2vec.md

14.5Word Embedding with Global Vectors (GloVe).md

14.6Subword Embedding.md

14.7Word Similarity and Analogy.md

14.8BERT.md

14.9The Dataset for Pretraining BERT.md

15-natural-language-processing-applications7个子项

15.1Sentiment Analysis and the Dataset.md

15.2sentiment-analysis-rnn.md

15.3Using Convolutional Neural Networks.md

15.4Natural Language Inference and the Dataset.md

15.5Using Attention.md

15.6Fine-Tuning BERT.md

15.7Fine-Tuning BERT.md

1_introduction2个子项

qy.md

前言.ipynb

2_Preparatory-knowledge14个子项

2.2数据预处理-checkpoint.ipynb

2.3线性代数-checkpoint.ipynb

2.4微分-checkpoint.ipynb

2.7查阅文档-checkpoint.ipynb

2.1数据操作-checkpoint.ipynb

2.5自动求导-checkpoint.ipynb

3_linear-networks9个子项

3.1.md

3.1linear-regression.ipynb

3.2.md

3.3.md

3.4.md

3.4softmax-regression.ipynb

3.5.md

3.6.md

3.7.md

4_multilayer-perceptrons20个子项

4.1.md

4.10.md

4.10kaggle-house-price.ipynb

4.4underfit-overfit.ipynb

4.5.md

4.5weight-decay.ipynb

4.8numerical-stability-and-init.ipynb

4.9.md

4.9environment.ipynb

5_deep-learning-computation10个子项

6_Convolutional-Neural-Network12个子项

7_convolutional-modern14个子项

8_recurrent-neural-networks7个子项

8.1Sequence Models.md

8.2Text Preprocessing.md

8.3Language Models and the Dataset.md

8.4Recurrent Neural Networks.md

8.5Implementation of RNN from Scratch.md

8.6. Concise Implementation of RNN.md

8.7Backpropagation Through Time.md

9-Modern Recurrent Neural Networks8个子项

9.5Machine Translation and the Dataset.md

9.6Encoder-Decoder Architecture.md

9.7seq2seq.md

9.8Beam Search.md

Preface1个子项

序言.ipynb

d2l1个子项

data1个子项

img238个子项

frontpage2个子项

installation1个子项

安装.ipynb

notation1个子项

符号.ipynb

Paddle_Industry_Practice_Sample_Library30个子项

3D_Detection2个子项

M3D-RPN-2.016个子项

README.md

config1个子项

data4个子项

__pycache__4个子项

dataset

lib6个子项

__pycache__6个子项

loss1个子项

nms13个子项

models5个子项

backbone2个子项

output2个子项

kitti_3d_multi_warmup6个子项

weights2个子项

tmp_results14个子项

data1000个子项

plot24个子项

pretrained_model2个子项

scripts2个子项

README.md

Abnormal_Action_Detection6个子项

README.md

images8个子项

Bolt_and_Nut_Detection9个子项

README.md

images1个子项

Electricity_Meter_Recognition1个子项

Electricity meter recognition.md

Fall_Identify3个子项

README.md

images3个子项

Figure_Skating2个子项

README.md

code4个子项

Instructions.md

Fire_and_Smoke_Detection4个子项

README.md

accuracy_improvement.md

code13个子项

test_imgs1个子项

docs1个子项

images9个子项

Football_Action2个子项

PaddleVideo20个子项

ISSUE_TEMPLATE3个子项

applications2个子项

FootballAction8个子项

README.md

datasets2个子项

EuroCup20166个子项

script5个子项

extractor3个子项

configs2个子项

predict5个子项

action_detect6个子项

mfcc4个子项

models5个子项

reader6个子项

utils4个子项

configs2个子项

train_lstm3个子项

conf2个子项

scenario_lib6个子项

train_proposal1个子项

configs4个子项

README.md

configs8个子项

detection1个子项

ava2个子项

estimation1个子项

adds1个子项

localization3个子项

multimodal1个子项

actbert2个子项

partitioners1个子项

transnetv21个子项

recognition12个子项

agcn2个子项

attention_lstm1个子项

non_local1个子项

pptimesformer1个子项

pptsm4个子项

pptsn2个子项

slowfast2个子项

stgcn2个子项

timesformer1个子项

tsm6个子项

tsn3个子项

videoswin1个子项

segmentation1个子项

deploy1个子项

cpp_infer9个子项

example_video_dir1个子项

external-cmake1个子项

imgs1个子项

include4个子项

readme.md

readme_en.md

src5个子项

tools1个子项

paddlevideo8个子项

loader6个子项

dataset15个子项

pipelines15个子项

metrics19个子项

ActivityNet2个子项

ava_evaluation8个子项

README.md

youtube8m4个子项

modeling11个子项

assigners2个子项

backbones20个子项

framework8个子项

detectors4个子项

estimators3个子项

localizers3个子项

multimodal3个子项

partitioners3个子项

recognizers10个子项

segment4个子项

heads20个子项

losses7个子项

samplers2个子项

solver4个子项

tasks5个子项

utils11个子项

multigrid6个子项

test_tipc9个子项

README.md

configs10个子项

AGCN1个子项

AttentionLSTM1个子项

BMN1个子项

PP-TSM2个子项

PP-TSN2个子项

STGCN1个子项

SlowFast1个子项

TSM1个子项

TSN1个子项

TimeSformer1个子项

docs5个子项

install.md

test_inference_cpp.md

test_train_inference_python.md

results12个子项

AGCN2个子项

AttentionLSTM2个子项

BMN2个子项

PP-TSM2个子项

PP-TSM_CPP2个子项

PP-TSN2个子项

PP-TSN_CPP2个子项

STGCN.txt2个子项

SlowFast2个子项

TSM2个子项

TSN2个子项

TimeSformer1个子项

tools7个子项

README.md

Hemtle Detection4个子项

README.md

accuracy_improvement.md

code2个子项

images14个子项

HumanSeg2个子项

README.md

imgs7个子项

Lip-syncing2个子项

Lip-syncing.md

data2个子项

Motion_Driving2个子项

Motion_Driving.md

data3个子项

Multi-Class_Vehicle_Tracking4个子项

README.md

config8个子项

images3个子项

MultimodalVideoTag1个子项

README.md

PCB_Fault_Detection3个子项

README.md

Peach_Classify4个子项

README.md

code4个子项

dataset1个子项

imgs3个子项

Pedestrian_Detection_and_Tracking5个子项

code

images

Report_Recognition_and_Analysis

Semantic_Matching

Tower_Recognition

Vehicle_Detection_and_Tracking

Waybill_Information_Extraction

meter_reader

nlp_projects

paddlex_steel_defect_seg-master

rebar_count

robot_grab

sentiment_analysis

smart_driving_tasks

Paper_Recurrence

README.md

bmimg

call_for_contribution

competition

docs

examples

junior_class

transformer_courses

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