Keras Courses and Certifications

Aladdin Persson

TensorFlow Tutorial - Model Subclassing with Keras - Part 8

Learn to build flexible TensorFlow models using Keras subclassing, including a ResNet-like model with skip connections. Gain advanced model creation skills beyond Sequential and Functional APIs.

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

Keith Galli

Real-World Python Neural Nets Tutorial - Image Classification with CNN - Tensorflow & Keras

Learn to build and train a CNN for image classification using TensorFlow and Keras. Covers data preparation, model improvement, hyperparameter tuning, and practical applications in Python.

• YouTube
• 1 hour 1 minute
• On-Demand
• Free Video

Keith Galli

Introduction to Neural Networks in Python - Tensorflow-Keras

Learn neural network basics, architecture, hyperparameters, and implementation in Python using TensorFlow/Keras. Includes hands-on coding examples for various classification tasks, from simple to complex datasets.

• YouTube
• 1 hour 1 minute
• On-Demand
• Free Video

Valerio Velardo - The Sound of AI

How to Implement a Variational Autoencoder in Python and Keras

Implement a Variational Autoencoder using Python, TensorFlow, and Keras. Learn to modify the encoder, update loss functions, train the model, and visualize the latent space for data generation.

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

Valerio Velardo - The Sound of AI

How to Implement Autoencoders in Python and Keras - The Encoder

Learn to implement autoencoders in Python and Keras, focusing on building the encoder component. Covers autoencoder class construction, convolutional layers, bottleneck creation, and practical implementation.

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

Jeff Heaton

Setting Up CUDA, CUDNN, Keras, and TensorFlow on Windows 11 for GPU Deep Learning

Comprehensive guide for setting up GPU-accelerated deep learning environment on Windows 11, covering CUDA, CUDNN, Keras, and TensorFlow installation with step-by-step instructions.

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

Jeff Heaton

TensorFlow 2.0 GPU, Keras, and Python 3.7 Installation Guide for Windows 10 - 2020 Update

Comprehensive guide for setting up TensorFlow 2.0 with GPU support on Windows 10, covering installation of necessary drivers, CUDA, cuDNN, and Anaconda environment configuration.

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

Jeff Heaton

Generating Faces with a Generative Adversarial Networks - GAN in Keras-Tensorflow 2.0

Learn to implement a Generative Adversarial Network (GAN) from scratch using TensorFlow and Keras to generate realistic human faces, with step-by-step guidance and practical code examples.

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

【4日で体験！】 TensorFlow, Keras, Python 3 で学ぶディープラーニング体験講座

2422 ratings at Udemy

TensorFlow 2 対応！ 4日間でディープラーニングを体験してみよう！Windows, MacでOK！

• Udemy
• 4 hours 18 minutes
• On-Demand
• Paid Course

Distributed Computing & AI with Spark

Gain insights into building, training, and customizing models with TensorFlow and Keras, from simple networks to advanced pre-trained models with transfer learning, culminating in an image classification project.

• Pragmatic Institute
• 4 hours
• On-Demand
• Paid Course

Introduction to Deep Learning in Python

50 ratings at DataCamp

Learn the fundamentals of neural networks and how to build deep learning models using Keras 2.0 in Python.

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

Derin Öğrenme ile Görüntü İşleme: Python OpenCV Keras (Gİ-2)

1012 ratings at Udemy

Yapay Zeka ve Derin Öğrenme Teknikleriyle Python'da Bilgisayarla Görü: Gerçek Zamanlı Obje Tanıma - Sınıflandırma -Takip

• Udemy
• 16 hours 30 minutes
• On-Demand
• Paid Course

Image Processing in Python

Apply your Python skills to take on image data! From pre-processing to deep learning, you'll discover the many ways you can leverage image data.

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

Introduction to TensorFlow in R

Learn how to use TensorFlow, a state-of-the-art machine learning framework that specializes in the ability to develop deep learning neural networks.

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

Computing With Natural Language

Learn advanced techniques like word embeddings, deep learning attention, and more. Build a machine translation model using recurrent neural network architectures.

• Udacity
• 25 hours
• On-Demand
• Paid Course