Keras Courses and Certifications

Valerio Velardo - The Sound of AI

Building and Training an Autoencoder in Keras - TensorFlow - Python

Learn to build and train autoencoders using Python, TensorFlow, and Keras. Explore encoder-decoder architectures, implement training with the MNIST dataset, and gain practical insights into autoencoder development.

• YouTube
• 27 minutes
• Self-Paced
• Free Video

Valerio Velardo - The Sound of AI

How to Implement Autoencoders in Python and Keras - The Decoder

Learn to implement the decoder component of autoencoders using Python, TensorFlow, and Keras. Covers building methods, layers, and architecture for generating sound with neural networks.

• YouTube
• 36 minutes
• Self-Paced
• Free Video

A Complete Guide on TensorFlow 2.0 using Keras API

2004 ratings at Udemy

Build Amazing Applications of Deep Learning and Artificial Intelligence in TensorFlow 2.0

• Udemy
• 13 hours 6 minutes
• Self-Paced
• Paid Course

Training Deep Neural Networks - Introduction to Keras/TensorFlow - Application to Tabular Data - Lecture 2

Master deep neural network training with Keras/TensorFlow through practical heart disease prediction modeling and tabular data applications.

• YouTube
• 1 hour 18 minutes
• Self-Paced
• Free Video

Eran Feit

Creating an Animal Segmentation Model with U-Net and TensorFlow Keras

Learn to implement and train a U-Net model for animal segmentation using TensorFlow/Keras. Covers data preprocessing, model architecture, training, and evaluation with practical code examples.

• YouTube
• 54 minutes
• Self-Paced
• Free Video

Eran Feit

Medical Polyp Image Segmentation with U-Net and TensorFlow Keras

Step-by-step guide to implement U-Net for medical polyp image segmentation using TensorFlow/Keras, covering data preprocessing, model architecture, training, and evaluation.

• YouTube
• 48 minutes
• Self-Paced
• Free Video

Devoxx

Deep Learning Like a Viking - Building Convolutional Neural Networks with Keras

Explore convolutional neural networks using Keras to recognize Viking runes, with hands-on coding and web application integration for practical machine learning experience.

• YouTube
• 47 minutes
• Self-Paced
• Conference Talk

Eran Feit

Transfer Learning Using Keras

Learn to classify car brands using transfer learning with Keras and ResNet50. Hands-on tutorial covers dataset preparation, model configuration, training, and prediction visualization.

• YouTube
• 25 minutes
• Self-Paced
• Free Video

EuroPython Conference

Automated Machine Learning With Keras

Explore automated machine learning with Keras Tuner and AutoKeras, enabling efficient development of high-performance deep learning models while requiring less expertise and effort.

• YouTube
• 31 minutes
• Self-Paced
• Conference Talk

Google Cloud Tech

ML Frameworks for Generative AI Development: JAX and Keras

Explore JAX and Keras frameworks for developing generative AI models, focusing on Google's Transformer architecture and Gemini models.

• YouTube
• 36 minutes
• Self-Paced
• Free Video

ChemicalQDevice

Parallel Quantum Algorithms Innovation: PyTorch, Keras, and QiML

Explore parallel quantum algorithms for machine learning using PyTorch and Keras. Enhance model accuracy and efficiency by incorporating quantum layers in neural networks.

• YouTube
• 58 minutes
• Self-Paced
• Free Video

WeAreDevelopers

Making Machine Learning Accessible Using Keras

Explore Keras, a user-friendly deep learning API, to make AI accessible for solving business problems. Learn about its features, APIs, model building, and integration with TensorFlow.

• YouTube
• 31 minutes
• Self-Paced
• Conference Talk

Train Your JAX Models Using model.fit(...) in Keras 3

Discover how to train JAX models with Keras 3's model.fit(...) API, explore KerasHub's pre-trained models, and learn about fine-tuning with LoRA and qLoRA, plus an introduction to Keras Recommenders.

• YouTube
• 20 minutes
• Self-Paced
• Free Video

Enigmatic Autoencoders for Dimensionality Reduction

Dive into the world of autoencoders, mastering neural network architecture, forward propagation, and hyperparameter optimization for effective data compression and reconstruction techniques.

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

TensorFlow Techniques for Model Optimization

Master advanced TensorFlow optimization techniques, from regularization and dropout implementation to callback utilization and Scikit-Learn integration, enhancing model performance and preventing overfitting.

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