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#MNIST Dataset

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Stanford University

Neural Networks in R and the MNIST Data - Lecture 10.R.1

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Explore neural networks using R and MNIST data, learning practical implementation of deep learning techniques for image recognition and statistical analysis.
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1 Lesons
30 minutes
On-Demand
Free-Video
University of Central Florida

Dynamic Routing Between Capsules

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Explore capsule networks, routing-by-agreement, and their applications in computer vision, with a focus on MNIST and multiMNIST datasets.
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14 Lesons
31 minutes
On-Demand
Free-Video
University of Central Florida

Introduction to Neural Networks - Part II - Lecture 8

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Explore neural network fundamentals, including activation functions, multi-class classification, and multi-layer perceptrons. Learn about their implementation and performance on image datasets like MNIST.
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13 Lesons
53 minutes
On-Demand
Free-Video
Great Learning

TensorFlow 2.0 Tutorial - Deep Learning

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Comprehensive TensorFlow 2.0 tutorial covering installation, neural networks, digit classification, and CNNs. Hands-on sessions provide practical understanding for deep learning enthusiasts.
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13 Lesons
2 hours 5 minutes
On-Demand
Free-Video

Tensorflow Tutorial for Beginner in Python - Hindi

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हिंदी में TensorFlow की शुरुआत से लेकर उन्नत अवधारणाओं तक का व्यापक प्रशिक्षण, जिसमें न्यूरल नेटवर्क, रिग्रेशन, वर्गीकरण और CNN शामिल हैं।
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40 Lesons
9 hours
On-Demand
Free-Video
CodeWithHarry

Handwritten Digit Recognition on MNIST Dataset - Machine Learning Tutorial

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Aprenda a reconocer dígitos escritos a mano utilizando el conjunto de datos MNIST y técnicas de aprendizaje automático en Python, con explicaciones en hindi.
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1 Lesons
36 minutes
On-Demand
Free-Video
Aleksa Gordić - The AI Epiphany

Coding a Neural Network from Scratch in Pure JAX - Machine Learning with JAX - Tutorial 3

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Learn to build and train a neural network classifier using JAX, including weight visualization, embedding analysis with t-SNE, and dead neuron detection.
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13 Lesons
1 hour 26 minutes
On-Demand
Free-Video
Discover AI

Dimensional Reduction Using PaCMAP: From High-Dimensional Data to Vector Spaces - MNIST Case Study

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Explore dimensional reduction using PaCMAP algorithm, from basic implementation to advanced applications with MNIST datasets, featuring hands-on Python coding in Colab notebooks.
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5 Lesons
14 minutes
On-Demand
Free-Video
Aleksa Gordić - The AI Epiphany

Machine Learning with Flax - From Zero to Hero

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Comprehensive guide to Flax, a JAX-based ML library. Learn basics, custom models, optimization, and practical examples like linear regression and CNN on MNIST. Ideal for ML enthusiasts.
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15 Lesons
1 hour 18 minutes
On-Demand
Free-Video
Prodramp

Deep Understanding of MNIST Problem and Its CNN Solution Using CNN Explainer

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Comprehensive tutorial on MNIST problem and CNN solution using CNN Explainer. Covers dataset preparation, model architecture, training, and evaluation. Ideal for beginners in deep learning and neural networks.
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28 Lesons
1 hour 4 minutes
On-Demand
Free-Video
USENIX Enigma Conference

Adversarial Examples in Machine Learning - Crafting and Defending Against Attacks

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Explore machine learning vulnerabilities, adversarial examples, and their impact on system security. Learn crafting techniques and defenses through practical tutorials and real-world applications.
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12 Lesons
20 minutes
On-Demand
Free-Video
Alfredo Canziani

Convolutional Neural Networks

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Explore convolutional neural networks, from basic concepts to modern implementations. Learn about kernels, biological inspirations, CNN evolution, and their advantages in image processing and feature extraction.
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7 Lesons
1 hour 38 minutes
On-Demand
Free-Video
Valerio Velardo - The Sound of AI

Implementing and Training a Neural Network with PyTorch

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Build and train a feed-forward neural network using PyTorch to classify MNIST digits. Learn data management, network implementation, and training loop creation in this hands-on tutorial.
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9 Lesons
37 minutes
On-Demand
Free-Video
Simons Institute

Studying Generalization in Deep Learning via PAC-Bayes

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Explore PAC-Bayes theory's application to deep learning generalization, focusing on risk bounds, optimal priors, and SGD prediction for neural networks.
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15 Lesons
45 minutes
On-Demand
Free-Video
sentdex

Deep Learning with Neural Networks and TensorFlow

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Learn to build a deep neural network using TensorFlow and the MNIST dataset. Explore feature extraction, model creation, and digit prediction techniques in this hands-on tutorial.
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7 Lesons
33 minutes
On-Demand
Free-Video
Jeff Heaton

Keras Convolutional Neural Networks for MNIST and Fashion MNIST

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Explore convolutional neural networks for image processing, focusing on MNIST and Fashion MNIST datasets. Learn about CNN architecture, training, and evaluation for advanced deep learning applications.
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8 Lesons
24 minutes
On-Demand
Free-Video

Neural Networks For Your Dog

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Learn to build neural networks from scratch in Python, covering perceptrons, gradient descent, and deep learning concepts through simple, engaging explanations and hands-on coding.
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15 Lesons
2 hours 14 minutes
On-Demand
Free-Video
NDC Conferences

Neural Networks by Example

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Explore neural networks' principles, applications, and real-life examples using MNIST dataset. Learn about convolutional networks and their use in image recognition and self-driving cars.
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12 Lesons
54 minutes
On-Demand
Free-Video
Aladdin Persson

Building Our First Simple GAN

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Learn to build a simple Generative Adversarial Network (GAN) using fully connected layers and train it on the MNIST dataset. Explore the architecture, setup, and training process for this fundamental deep learning model.
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6 Lesons
24 minutes
On-Demand
Free-Video
Aladdin Persson

Pytorch DCGAN Tutorial

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Implement a DCGAN in PyTorch to generate new MNIST digits. Learn GAN fundamentals, architecture, and training techniques through hands-on coding and visualization.
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9 Lesons
40 minutes
On-Demand
Free-Video