Deep Learning: Theory and Experiments
阿新 • • 發佈:2018-11-10
Deep Learning: Theory and Experiments<article> <script async="" src="//pagead2.googlesyndication.com/pagead/js/adsbygoogle.js"></script> <ins class="adsbygoogle" style="display: block; text-align: center; height: 200px;" data-ad-layout="in-article" data-ad-format="fluid" data-ad-client="ca-pub-7963911354665843" data-ad-slot="7239246954" data-adsbygoogle-status="done"><ins id="aswift_0_expand" style="display:inline-table;border:none;height:200px;margin:0;padding:0;position:relative;visibility:visible;width:816px;background-color:transparent;"><ins id="aswift_0_anchor" style="display:block;border:none;height:200px;margin:0;padding:0;position:relative;visibility:visible;width:816px;background-color:transparent;"><iframe width="816" height="200" frameborder="0" marginwidth="0" marginheight="0" vspace="0" hspace="0" allowtransparency="true" scrolling="no" allowfullscreen="true" onload="var i=this.id,s=window.google_iframe_oncopy,H=s&&s.handlers,h=H&&H[i],w=this.contentWindow,d;try{d=w.document}catch(e){}if(h&&d&&(!d.body||!d.body.firstChild)){if(h.call){setTimeout(h,0)}else if(h.match){try{h=s.upd(h,i)}catch(e){}w.location.replace(h)}}" id="aswift_0" name="aswift_0" style="left:0;position:absolute;top:0;width:816px;height:200px;"></iframe></ins></ins></ins> <script> (adsbygoogle = window.adsbygoogle || []).push({}); </script> <h1 id="articleHeader0"><a id="user-content-deep-learning-theory-and-experiments" class="anchor" aria-hidden="true" href="#deep-learning-theory-and-experiments">
Sample codes have links to other repo that I maintain (Advanced Deep Learning with Keras book) or contribute (Keras)
Lecture Notes
- Course Roadmap
- Background Materials
- Machine Learning Basics
- Concepts, Capacity, Estimators, Linear Regression
- MLE, Bayesian, Other ML Algorithms
- Stochastic Gradient Descent, etc
- Deep Neural Networks
- Deep Feedforward Neural Networks, Cost, Output, Hidden Units
- Back Propagation
- Keras Sample Codes
- Keras Sample Codes
- Keras Sample Codes
- Keras Sample Code
- Utils for Testing Sentence Similarity
- Keras Sample Code
- Keras Sample Codes
Warning: The following are old experiments that are longer updated and maintained
Tensorflow Experiments
- Hello World!
- Linear Algebra
- Matrix Decomposition
- Probability Distributions using TensorBoard
- Linear Regression by PseudoInverse
- Linear Regression by Gradient Descent
- Under Fitting in Linear Regression
- Optimal Fitting in Linear Regression
- Over Fitting in Linear Regression
- Nearest Neighbor
- Principal Component Analysis
- Logical Ops by a 2-layer NN (MSE)
- Logical Ops by a 2-layer NN (Cross Entropy)
- NotMNIST Deep Feedforward Network: Code for NN and Code for Pickle
- NotMNIST CNN
- word2vec
- Word Prediction/Story Generation using LSTM. Belling the Cat by Aesop Sample Text Story