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1,421 results
Keynote: Enterprise Value with Generative AI - Gourab De, Vice President, Customer Success and Machine Learning, Weights ...
226 views
6 months ago
In this video, I'll guide you through weight initialization techniques in neural networks and highlight what NOT to do. From common ...
25,816 views
2 years ago
We'll take a look at how exactly neural networks learn by starting with modeling an objective function through Maximum ...
8,497 views
6 years ago
Keynote: LLM Dev Status in Japan - Akira Shibata, Weights & Biases.
90 views
1 month ago
Lecture slides and class materials for this workshop are available at bioinformaticsdotca.github.io/MLE_2023 Visit us at ...
322 views
9 months ago
Use learning rate schedule that doesn't decay to zero (cyclical or constant) Average weights Cyclical LR at the end of each cycle ...
1,715 views
5 years ago
This video in our Ecological Forecasting series introduces the concept of the state-space model (a.k.a. Hidden Markov model) as ...
3,321 views
4 years ago
Source code https://github.com/vipinkmenon/neuralNetwork/tree/master/Tut-6.
8,314 views
Today we continue our dive deep into the foundations of how a neural net really works, by training one from scratch. We look at ...
77,091 views
3 years ago
Backpropagation lies at the core of how neural networks are trained. Automatic differentiation lies at the core of backpropagation.
660 views
This covers multi-headed attention, scaling/mask, residual connections + Add & Normalization. These topics did not fit in the main ...
1,380 views
Amanda Kelly, Co- Founder, Streamlit, Product Director, Snowflake & Chris Van Pelt, Co-Founder & CISO, Weights & Biases join ...
12,506 views
3 weeks ago
They introduce Weights and Biases (W&B), an experiment tracking and logging tool that can help manage and visualize the ...
6,571 views
1 year ago
TensorFlow MNIST tutorial https://youtu.be/wQ8BIBpya2k Source code ...
7,760 views
Why update weights and biases after training a Neural Network on whole set of training samples? Helpful? Please support me on ...
2 views
We continue the theme of building neural networks in a spreadsheet, as a way to do a worked example of them. In this video, we ...
6,163 views
This video talks about momentum and Its use in Gradient Descent Attribution-NonCommercial-ShareAlike CC BY-NC-SA Authors: ...
437 views
... Data Collection 00:00:48 Step 3 - Neural Network Architectures 00:01:00 Step 4 - Initializing Weights and Biases 00:01:12 Step ...
21 views
7 months ago
... 3:33 Building a deep neural network for the XOR function 6:57 Exploring the weights and biases of a deep neural network 10:07 ...
13,974 views
The error backpropagation algorithm is gradient descent on neural networks. Here is a detailed derivation and description of the ...
1,652 views