VFX Artist Reveals the TRUE Scale of Data!
Two of my favorite things in one video: VFX and Data Visualization. Wren uses VFX to explain the progression of Data storage over the ages as well as all of the Data that is stored on the entire planet.
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Grover’s Quantum Search for Data Science and Why should we Care
Tigran Sedrakyan on Grover’s Quantum Search for Data Science and Why should we Care Among the most prominent achievements of the quantum computing field is an algorithm known as Grover’s quantum search. This talk focuses on Grover’s algorithm and its applications to machine learning routines. Prior knowledge required is a basic understanding of linear algebra and […]
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Himanish Goel on Education, Starting a Career, & More
In this episode of Data Driven, Andy and I interview Himanish Goel, Technical Architecture Delivery Analyst at Accenture and recent graduate of VCU in Richmond, Virginia. It’s a wide ranging discussion covering the transition from being a student to entering the professional workforce, podcasting, and thoughts on the current state of the school system in the […]
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The Shift to Gamification in Education and What It Means for Web Developers
The Following is a guest post by Ainsely Lawrence Education has gone through a technological revolution in the last few years. This is largely due to the increased demand for remote learning. The need for remote learning has promoted rapid growth in EdTech as teachers and school boards have been forced to rethink their lesson […]
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A Subset-Based Strategy for Faster AutoML
Teddy Lazebnik, CTO@DataClue recently presented this talk at PyData Tel Aviv. Automated machine AutoML learning frameworks have become important tools in the data scientists’ arsenal. However, when the dataset is large, the overall AutoML running times become increasingly high. In this lecture, we present AutoML optimization strategy that tackles the data size, rather than configuration […]
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Why you Should Care about Data-Centric AI
From PyData London 2022 Marysia Winkels presents: “Models Schm-odels: Why You Should Care About Data-Centric AI” Data Centric AI is the term coined by AI pioneer Andrew Ng for the movement that argues we shift our focus towards iterating on our data instead of models to improve machine learning predictions. But isn’t this what we […]
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Sigmoid Activation Function – Deep Learning Dictionary
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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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Audio Neural Networks without Ground Truth: Avoid Humans in the Loop
From the PyData London 2022 conference Orian Sharoni speaks about Audio Neural Networks without Ground Truth: How to Avoid Humans in the Loop at all Costs. Manual listening tests are great but they’re time consuming, mission specific and expensive. We all want good quality automated testing measurements to better our algorithms but can we truly get […]
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Going Beyond Medical Image Segmentation. The Road Towards Clinical Insights
Adam Klimont and Tomasz Bartczak present “Beyond Medical Image Segmentation. The Road Towards Cinical Insights” at the PyData London 2022 conference. Recent progress in deep learning for medical imaging has led to impressive results. Among them is a fully automatic human organ segmentation from Computed Tomography (CT) scans. Organ segmentation can be the end goal […]
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