Deep Learning Specialization on Coursera
Instructor: Andrew Ng
Just completed Deep Learning Specialization on Coursera, using this repo to keep a record of all my completed coursework and related files. I will start writing up on each topic with additional links I have been learning from.
Please observe the Coursera honour code.
Currently, these are not standalone Jupyter Notebook, I will try to add some of the dependencies back later as I tidy up the whole set. I will fix broken images too.
I will also add quiz answers eventually too.
Running your own Jupyter Notebook online (free for 2 months)
Use One-click "Machine Learning and AI" image on DigitalOcean to play around with Python using Jupyter Notebook. Use my referral link and receive $10 in credit immediately as new user, enough to run a small 1GB-RAM 25GB-SSD server for 2 months, $5 a month after. Let me know if you need help with the setup. https://m.do.co/t/b298d6966c0cI get some free credit (not cash) to run my server there if you sign up using the link.
Course Video on YouTube
If you are in mainland China or can't access YouTube, can try to watch the videos on NetEase 网易云课堂.
Beyond Deep Learning Specialization
- Awesome Python Machine LearningI have added a long list of Python frameworks, libraries, software and resources for Machine Learning. Inspired/Forked from awesome-python, awesome-machine-learning.
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Operations on word vectors - v2 import numpy as np from w2v_utils import * words, word_to_vec_map = read_glove_vecs('data/glove.6B.50d.txt') 1 - Cosine similarity # GRADED FUNCTION: cosine_similarity
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Deep Learning Specialization Projects from the Deep Learning Specialization from deeplearning.ai offered by Coursera. Instructor: Andrew Ng Master Deep Learning and Break Into AI If you want to break
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My Solution to Assignments of Machine-Learning on Coursera This is my solution to the assignments of Machine-Learning on Coursera.Machine-Learning on Coursera isa classical class, whose advisor is And
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人工神经网络（ANN）是一种高效的计算系统，其中心主题借鉴了生物神经网络的类比。 神经网络是机器学习的一种模型。 在20世纪80年代中期和90年代初期，在神经网络中进行了许多重要的建筑改进。 在本章中，您将了解有关深度学习的更多信息，这是一种人工智能的方法。 深度学习源自十年来爆炸性的计算增长，成为该领域的一个重要竞争者。 因此，深度学习是一种特殊的机器学习，其算法受到人脑结构和功能的启发。 机器
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深度学习 我们可以在Personal Computer上完成庞大的任务 深度学习是一种适应于各类问题的万能药 神经网络 神经网络出现于80年代，但当时计算机运行慢，数据集很小，神经网络不适用 现在神经网络回来了，因为能够进行GPU计算，可用使用的数据集也变大 分类 分类的一些讨论可以在这个项目里看到 Machine Learning不仅是Classification！但分类是机器学习的核心。 学会
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When Bitcoin meets Artificial Intelligence Exploiting Bitcoin prices patterns with Deep Learning. Like OpenAI, we train our models on raw pixel data. Exactly how an experienced human would see the cur
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Awesome Deep Learning Table of Contents Books Courses Videos and Lectures Papers Tutorials Researchers Websites Datasets Conferences Frameworks Tools Miscellaneous Contributing Books Deep Learning by