fl***fly

Startups Are Racing to Commercialize DeepFakes’ Powerful, Internet-Breaking AI.pdf

分享时间:2019-07-01 08:19:51 大小:1.38 MB
路径: /我的分享/2019/2019.05/Startups Are Racing to Commercialize DeepFakes’ Powerful, Internet-Breaking AI.pdf
fl***fly

Natural Language Processing — Event Extraction – Towards Data Science.pdf

分享时间:2019-07-01 08:19:51 大小:1.63 MB
路径: /我的分享/2019/2019.05/Natural Language Processing — Event Extraction – Towards Data Science.pdf
fl***fly

Python’s One Liner graph creation library with animations Hans Rosling Style.pdf

分享时间:2019-07-01 08:19:51 大小:11.98 MB
路径: /我的分享/2019/2019.05/Python’s One Liner graph creation library with animations Hans Rosling Style.pdf
fl***fly

6 bits of advice for Data Scientists – Towards Data Science.pdf

分享时间:2019-07-01 08:19:51 大小:9.55 MB
路径: /我的分享/2019/2019.05/6 bits of advice for Data Scientists – Towards Data Science.pdf
fl***fly

Introduction to Turing Learning and GANs – Towards Data Science.pdf

分享时间:2019-07-01 08:19:51 大小:15.50 MB
路径: /我的分享/2019/2019.05/Introduction to Turing Learning and GANs – Towards Data Science.pdf
fl***fly

Advanced Topics in GANs – Towards Data Science.pdf

分享时间:2019-07-01 08:19:51 大小:28.16 MB
路径: /我的分享/2019/2019.05/Advanced Topics in GANs – Towards Data Science.pdf
fl***fly

Let’s Build a Streaming Data Pipeline – Towards Data Science.pdf

分享时间:2019-07-01 08:19:51 大小:1.49 MB
路径: /我的分享/2019/2019.05/Let’s Build a Streaming Data Pipeline – Towards Data Science.pdf
fl***fly

Understanding PyTorch with an example_ a step-by-step tutorial.pdf

分享时间:2019-07-01 08:19:51 大小:1.07 MB
路径: /我的分享/2019/2019.05/Understanding PyTorch with an example_ a step-by-step tutorial.pdf
fl***fly

The Remarkable world of Recommender Systems – Towards Data Science.pdf

分享时间:2019-07-01 08:19:51 大小:2.97 MB
路径: /我的分享/2019/2019.05/The Remarkable world of Recommender Systems – Towards Data Science.pdf
fl***fly

3 Ways to Load CSV files into Colab – Towards Data Science.pdf

分享时间:2019-07-01 08:19:51 大小:174.28 KB
路径: /我的分享/2019/2019.05/3 Ways to Load CSV files into Colab – Towards Data Science.pdf
fl***fly

Analyzing Machine Learning Models with Yellowbrick – Heartbeat.pdf

分享时间:2019-07-01 08:19:51 大小:2.82 MB
路径: /我的分享/2019/2019.05/Analyzing Machine Learning Models with Yellowbrick – Heartbeat.pdf
fl***fly

Implementing SPADE using fastai – Towards Data Science.pdf

分享时间:2019-07-01 08:19:51 大小:2.64 MB
路径: /我的分享/2019/2019.05/Implementing SPADE using fastai – Towards Data Science.pdf
fl***fly

Introducing TF-Ranking – Towards Data Science.pdf

分享时间:2019-07-01 08:19:51 大小:2.67 MB
路径: /我的分享/2019/2019.05/Introducing TF-Ranking – Towards Data Science.pdf
fl***fly

Ethical analysis of the open sourcing of a state-of-the-art conversational AI.pdf

分享时间:2019-07-01 08:19:51 大小:996.13 KB
路径: /我的分享/2019/2019.05/Ethical analysis of the open sourcing of a state-of-the-art conversational AI.pdf
fl***fly

lecun-20190218-isscc.odp

分享时间:2019-07-01 08:19:51 大小:308.99 MB
路径: /我的分享/2019/2019.05/lecun-20190218-isscc.odp
fl***fly

It’s 2019 — Make Your Data Visualizations Interactive with Plotly.pdf

分享时间:2019-07-01 08:19:51 大小:3.29 MB
路径: /我的分享/2019/2019.05/It’s 2019 — Make Your Data Visualizations Interactive with Plotly.pdf
fl***fly

Deep Learning Book Series 3.1 to 3.3 Probability Mass and Density Functions.pdf

分享时间:2019-07-01 08:19:51 大小:5.57 MB
路径: /我的分享/2019/2019.05/Deep Learning Book Series 3.1 to 3.3 Probability Mass and Density Functions.pdf
fl***fly

Some awesome modern C features that every developer should know.pdf

分享时间:2019-07-01 08:19:51 大小:3.52 MB
路径: /我的分享/2019/2019.05/Some awesome modern C features that every developer should know.pdf
fl***fly

Synthetic data generation — a must-have skill for new data scientists.pdf

分享时间:2019-07-01 08:19:51 大小:2.01 MB
路径: /我的分享/2019/2019.05/Synthetic data generation — a must-have skill for new data scientists.pdf
fl***fly

Facebook is Making Deep Learning Experimentation Easier With These Two New PyTorch-Based Frameworks.pdf

分享时间:2019-07-01 08:19:51 大小:301.23 KB
路径: /我的分享/2019/2019.05/Facebook is Making Deep Learning Experimentation Easier With These Two New PyTorch-Based Frameworks.pdf