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#Feedforward Neural Networks

Showing: 9 courses
Hausdorff Center for Mathematics

Chad Giusti - Topology, Convexity, and Neural Networks

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Explore topology in neuroscience, focusing on receptive fields, neuron convexity, and geometric features. Discover connections between neural networks and mathematical concepts.
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20 Lesons
45 minutes
On-Demand
Free-Video
MITCBMM

Feedforward and Feedback Processes in Visual Recognition

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Explore visual recognition processes, comparing deep learning models with neuroscience-inspired approaches. Gain insights into complex visual reasoning and potential advancements in AI through computational neuroscience.
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19 Lesons
52 minutes
On-Demand
Free-Video
Data Science Courses

Deep Learning: Feedforward Neural Networks and Backpropagation - Lecture 2

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Dive into fundamental concepts of deep learning, exploring perceptrons, feedforward neural networks, and mastering backpropagation techniques for neural network training.
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1 Lesons
1 hour 16 minutes
On-Demand
Free-Video
UofU Data Science

Neural Networks Foundations - Feedforward Neural Networks

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Master the fundamentals of feedforward neural networks, exploring their architecture, functionality, and implementation principles for building effective machine learning models.
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1 Lesons
1 hour 20 minutes
On-Demand
Free-Video
UofU Data Science

Introduction to Neural Networks: Classification, Softmax, and Training Techniques

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Master the fundamentals of neural networks, from nonlinear and multiclass classification to feedforward networks, training techniques, and optimization strategies for improved model performance.
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7 Lesons
1 hour 19 minutes
On-Demand
Free-Video
Graham Neubig

CMU Multilingual NLP 2020 - Text Classification and Sequence Labeling

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Explore text classification and sequence labeling in multilingual NLP, covering models, datasets, and neural networks for various language processing tasks.
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27 Lesons
46 minutes
On-Demand
Free-Video
MITCBMM

Connections Between Physics and Deep Learning

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Explore the fascinating intersections of physics and deep learning, from neural networks to scale-invariant behavior, with insights from MIT's Max Tegmark.
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13 Lesons
52 minutes
On-Demand
Free-Video
GOTO Conferences

Composing Bach Chorales Using Deep Learning

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Explore how deep learning and LSTM can compose Bach-style chorales, with insights from a musical Turing test revealing AI's potential for musical creativity.
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10 Lesons
29 minutes
On-Demand
Free-Video
Jay Alammar

The Narrated Transformer Language Model

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Visual introduction to the Transformer architecture, explaining its components and applications in AI/ML. Accessible to various experience levels, covering tokenization, embedding, and output projection.
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9 Lesons
30 minutes
On-Demand
Free-Video