MNIST Dataset Courses and Certifications

Prodramp

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

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.

• YouTube
• 1 hour 4 minutes
• On-Demand
• Free Video

Advanced Dimensionality Reduction in R

Learn how to apply advanced dimensionality techniques such as t-SNE and GLRM.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Codeynamics

Image Classification with Deep Neural Networks Using TensorFlow and MNIST Dataset

Master deep neural networks and image classification using TensorFlow, implementing hands-on solutions with the MNIST dataset to recognize handwritten digits effectively.

• YouTube
• 29 minutes
• On-Demand
• Free Video

CodeWithHarry

Handwritten Digit Recognition on MNIST Dataset - Machine Learning Tutorial

Aprenda a reconocer dígitos escritos a mano utilizando el conjunto de datos MNIST y técnicas de aprendizaje automático en Python, con explicaciones en hindi.

• YouTube
• 36 minutes
• On-Demand
• Free Video

sentdex

Deep Learning with Neural Networks and TensorFlow

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.

• YouTube
• 33 minutes
• On-Demand
• Free Video

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

Explore neural networks using R and MNIST data, learning practical implementation of deep learning techniques for image recognition and statistical analysis.

• YouTube
• 30 minutes
• On-Demand
• Free Video

Great Learning

TensorFlow 2.0 Tutorial - Deep Learning

Comprehensive TensorFlow 2.0 tutorial covering installation, neural networks, digit classification, and CNNs. Hands-on sessions provide practical understanding for deep learning enthusiasts.

• YouTube
• 2 hours 5 minutes
• On-Demand
• Free Video

Aladdin Persson

Building Our First Simple GAN

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.

• YouTube
• 24 minutes
• On-Demand
• Free Video

Aladdin Persson

Pytorch DCGAN Tutorial

Implement a DCGAN in PyTorch to generate new MNIST digits. Learn GAN fundamentals, architecture, and training techniques through hands-on coding and visualization.

• YouTube
• 40 minutes
• On-Demand
• Free Video

Aleksa Gordić - The AI Epiphany

Machine Learning with Flax - From Zero to Hero

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.

• YouTube
• 1 hour 18 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

Learn to build and train a neural network classifier using JAX, including weight visualization, embedding analysis with t-SNE, and dead neuron detection.

• YouTube
• 1 hour 26 minutes
• On-Demand
• Free Video

Alfredo Canziani

Convolutional Neural Networks

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.

• YouTube
• 1 hour 38 minutes
• On-Demand
• Free Video

Valerio Velardo - The Sound of AI

Implementing and Training a Neural Network with PyTorch

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.

• YouTube
• 37 minutes
• On-Demand
• Free Video

Jeff Heaton

Keras Convolutional Neural Networks for MNIST and Fashion MNIST

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.

• YouTube
• 24 minutes
• On-Demand
• Free Video

Dynamic Routing Between Capsules

Explore capsule networks, routing-by-agreement, and their applications in computer vision, with a focus on MNIST and multiMNIST datasets.

• YouTube
• 31 minutes
• On-Demand
• Free Video