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
• Self-Paced
• Free Video

Advanced Dimensionality Reduction in R

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

• DataCamp
• 4 hours
• Self-Paced
• 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
• Self-Paced
• Free Video

JAX in Action: Building an Image Classifier

Master JAX, Flax, and Optax by building a complete image classification pipeline with CNNs, from data preprocessing to training and evaluation loops.

• CodeSignal
• 2 hours
• Self-Paced
• Free Certificate

Introduction to Drawing Recognition and CNN Fundamentals

Master CNN fundamentals and build models to recognize hand-drawn sketches through practical exercises with MNIST dataset visualization and enhanced neural network architectures.

• CodeSignal
• 1 hour
• Self-Paced
• Free Certificate

Mastering Neural Networks and Model Regularization

Dive deep into neural networks, from perceptrons to CNNs. Build models from scratch, master regularization techniques, and apply PyTorch for image and audio processing tasks.

• Coursera
• 16 hours 3 minutes
• Self-Paced
• Paid Course

Whizlabs

NVIDIA: Fundamentals of Deep Learning

13 ratings at Coursera

Dive into fundamental deep learning concepts, from neuron processing to CNNs and transfer learning, with hands-on demos using MNIST datasets and image recognition applications.

• Coursera
• 3 hours 44 minutes
• Self-Paced
• Paid Course

Packt Career Certificate

Deep Learning with TensorFlow

6 ratings at Coursera

Master deep learning with TensorFlow through ANNs, RNNs, and CNNs. Build models for image classification, time series prediction, and NLP using real datasets and optimization techniques.

• Coursera
• 4 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 3 courses

Introduction Course to Autoencoders, VAEs, and GANs

Master autoencoders, VAEs, and GANs through hands-on implementation with TensorFlow, building realistic image generators and understanding adversarial training dynamics.

• Coursera
• 3 hours 55 minutes
• Self-Paced
• Paid Course

Packt Career Certificate

Keras Deep Learning & Generative Adversarial Networks (GAN)

Master deep learning with Keras and GANs. Build neural networks, predict outcomes, and generate realistic data. Gain expertise in AI-driven solutions for image generation and data augmentation.

• Coursera
• 4 weeks, 10 hours/week
• Self-Paced
• Paid Course

Packt

Advanced Generative Adversarial Networks (GANs)

Master AI-driven image synthesis with GANs. Learn architectures, implement models, and optimize performance using popular datasets. Apply knowledge to generate realistic images for practical applications.

• Coursera
• 12 hours 46 minutes
• Self-Paced
• Paid Course

Packt

Deep Learning - Artificial Neural Networks with TensorFlow

Explore deep learning and artificial neural networks using TensorFlow. Learn foundational concepts, implement ANN models, and optimize deep learning models through hands-on examples and practical applications.

• Coursera
• 7 hours 21 minutes
• Self-Paced
• Paid Course

Packt

Foundations of Deep Learning and Neural Networks

Master deep learning fundamentals, from neural network basics to advanced CNNs. Explore backpropagation, regularization techniques, and practical applications using TensorFlow and Keras. Ideal for tech professionals and students.

• Coursera
• 14 hours 19 minutes
• Self-Paced
• Paid Course

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
• Self-Paced
• Free Video

Convolutional Neural Networks with TensorFlow in Python

481 ratings at Udemy

Advanced neural networks: Master Computer Vision with Convolutional Neural Networks (CNN) and Deep Learning

• Udemy
• 4 hours 43 minutes
• Self-Paced
• Paid Course