rasbt

11 ms·

121.
Training factually correct LLMs requires vast amounts of factually correct data(sebastianraschka.com)
1 points by rasbt 4y ago|0 comments
122.
Machine Learning and AI Open Source Highlights 2022(sebastianraschka.com)
1 points by rasbt 4y ago|0 comments
123.
Influential Machine Learning Papers of 2022(sebastianraschka.com)
2 points by rasbt 4y ago|0 comments
124.
Noteworthy Deep Learning Papers of 2022(magazine.sebastianraschka.com)
1 points by rasbt 4y ago|0 comments
125.
by rasbt 4y ago
Good question! I am using a mix of the latest Python open source frameworks, PyTorch taking the center stage. There will also units on Lightning to make certain things more convenient, like multi-GPU training and hyperparameter sweeps.
126.
Show HN: Deep Learning Fundamentals – A new, concise resource on learning DL&AI(lightning.ai)
3 points by rasbt 4y ago|3 comments
127.
Language Transformers, Fast and Slow(newsletter.sebastianraschka.com)
1 points by rasbt 4y ago|0 comments
128.
A Diffusion of Innovations – Some thoughts on the latest diffusion models(newsletter.sebastianraschka.com)
6 points by rasbt 4y ago|1 comments
129.
by rasbt 4y ago
love how fast it is
130.
by rasbt 4y ago
Looking forward to all the new PyTorch-related improvements and features that this new focus will bring to Lightning!
131.
A Short Chronology of Deep Learning for Tabular Data(sebastianraschka.com)
1 points by rasbt 4y ago|0 comments
132.
No, We Don't Have to Choose Batch Sizes as Powers of 2(sebastianraschka.com)
1 points by rasbt 4y ago|0 comments
133.
Sharing Deep Learning Research Models with Lightning: Leveraging the Cloud(sebastianraschka.com)
1 points by rasbt 4y ago|0 comments
134.
Model evaluation and selection in machine learning(sebastianraschka.com)
2 points by rasbt 10y ago|0 comments
135.
Machine Learning – About Model Evaluation(sebastianraschka.com)
3 points by rasbt 10y ago|0 comments
136.
Intro to Machine Learning Video Tutorial from SciPy 2016(youtube.com)
5 points by rasbt 10y ago|1 comments
137.
What's the deal with regularization in logistic regression?(kdnuggets.com)
1 points by rasbt 10y ago|0 comments
138.
Equation-compilation of common ML algorithms and topics [pdf](github.com)
1 points by rasbt 10y ago|0 comments
139.
Model evaluation, model selection, and algorithm selection in machine learning(sebastianraschka.com)
8 points by rasbt 10y ago|0 comments
140.
What factors should I consider when choosing a predictive model technique?(github.com)
4 points by rasbt 10y ago|0 comments
141.
How random forests work, the difference between bagging and boosting(github.com)
2 points by rasbt 10y ago|0 comments
142.
by rasbt 10y ago
I agree with you, it could surely expand this answer (I am the person who wrote this little answer). Since this was originally just an answer to a question I answered via email (if I remember correctly), I didn't go into too much dep
143.
by rasbt 10y ago
you mean material specific to deep learning that is more general and less math heavy? Hm, that's a good question, the resources I'd reference are all a bit math heavy. However, don't be afraid of diving into TensorFlow, it&#x
144.
by rasbt 10y ago
Hi @vonklaus, thanks for the feedback. This was actually not intended to be an "article" but more like an answer to a targeted question (I am the author of this little write-up). Basically, someone asked me this specific question
145.
by rasbt 10y ago
Technically, you can say that even a single perceptron unit is a artificial neural network -- a single-layer ANN. Multi-layer neural networks (such as a multi-layer perceptron) have at least one input layer, one hidden layer, and one outp
146.
What Is the Difference Between Deep Learning and “Regular” Machine Learning?(kdnuggets.com)
3 points by rasbt 10y ago|0 comments
147.
Overview of Model-Fitting in Machine Learning – Closed-Form vs. Gradient Descent(kdnuggets.com)
2 points by rasbt 10y ago|0 comments
148.
How to Explain Machine Learning to a Software Engineer(kdnuggets.com)
8 points by rasbt 10y ago|0 comments
149.
5 Machine Learning Projects You Can No Longer Overlook(kdnuggets.com)
2 points by rasbt 10y ago|0 comments
150.
Troubleshooting Neural Networks: What Is Wrong When My Error Increases(kdnuggets.com)
3 points by rasbt 10y ago|0 comments

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