Code From Scratch: Neural Networks
Sapphire Dev shows us how neural networks operate behind the hood can be hidden from the programmer in frameworks such as TensorFlow. But to become a competent AI developer, understanding the fundamental algorithms behind these networks is invaluable information. Here, we embark on a journey to create our own network in the Dart programming language.
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Visualization of a fully connected neural network, version 1
This video from Marijn van Vliet is havily inspired by Denis Dmitriev’s work.
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What are Activation Functions?
Did you ever wonder what activation functions are? Then watch this video to find out. The script to this video was AI generated as was the presenter. Ironically, I did the grunt work of editing, mixing audio, and rendering the final product. Soon, there’ll be an AI for that, too.
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Introduction to transformer architecture and discussion
Phillip Isola and Brian Cheung of MIT provide an informal discussion that provides an overview of transformer networks and then we will open the floor for questions and discussion.
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How can Neural Networks learn (almost) anything
They seem magical, but the functioning of neural networks is real and fantastic. A video about neural networks, how they work, and why they’re useful.
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Running Neural Networks on Meshes of Light
Photonics are not just for quantum computers apparently. Could we be on the precipice of a new hardware paradigm?
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How Deep Neural Networks Work
This is part of the End-to-End Machine Learning School Course 193, How Neural Networks Work at https://e2eml.school/193
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Introduction to Long Short-Term Memory Networks (LSTM)
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Frank
- August 8, 2022
- Deep Learning
- deep learning edureka
- deep learning tutorial
- edureka
- long term short
- lstm explained
- lstm neural network
- lstm python tutorial
- recurrent neural network based language model
- recurrent neural network explained
- recurrent neural network lstm
- recurrent neural network tutorial
- recurrent neural network tutorial tensorflow
- recurrent neural networks
- rnn lstm
- rnn tensorflow
- rnn tensorflow tutorial
- rnn tutorial
- tensorflow tutorial
This Edureka LSTM Explained video will help you in understanding why we need Recurrent Neural Networks (RNN) and what exactly it is. It also explains few issues with training a Recurrent Neural Network and how to overcome those challenges using LSTMs.
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Building a neural network FROM SCRATCH (no Tensorflow/Pytorch, just numpy & math)
Watch the video and check out the Kaggle notebook with all the code.
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Sigmoid Activation Function – Deep Learning Dictionary
-
Frank
- July 11, 2022
- activation function
- AI
- artificial intelligence
- artificial neural network
- Autoencoders
- batch normalization
- Clustering
- CNN
- Convolutional Neural Network
- CUDA
- cuDNN
- data augmentation
- Deep Learning
- Education
- fine-tune
- GPU
- image classification
- Keras
- Learning
- Machine Learning
- neural net
- Neural Network
- Nvidia
- Python
- PyTorch
- relu
- Sequential model
- SGD
- Supervised Learning
- TensorFlow
- tensorflow.js
- TFJS
- train
- Training
- Transfer Learning
- Tutorial
- Unsupervised Learning
What is the sigmoid activation function used in artificial neural networks?
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