Inside TensorFlow - tf.Keras - Part 1
Explore tf.Keras architecture, layers, and models with creator Francois Chollet. Learn about Functional API, eager execution, and automatic masking in this technical deep dive.
Inside TensorFlow - tf.distribute.Strategy
Explore tf.distribute.Strategy for efficient distributed TensorFlow training. Learn implementation details, data parallelism, and optimization techniques from a TensorFlow engineer.
Distributed TensorFlow - TensorFlow at O'Reilly AI Conference, San Francisco '18
Learn distributed TensorFlow training using Keras APIs, Kubeflow, and Kubernetes. Explore TensorFlow's architecture, set up clusters, and distribute models for efficient multi-GPU and multi-node performance.
Semi-Supervised Learning with GANs in Keras
Explore semi-supervised learning with GANs in Keras, focusing on training discriminators as classifiers using limited labeled data for improved accuracy compared to traditional CNNs.
Enhancing Old Videos to Full HD Using AI Tools - Video Restoration Tutorial
Discover how to transform old, low-quality videos into full HD using AI-powered video enhancement tools, Python libraries, and GPU processing for superior resolution and clarity.
Нейросети на Python
Учебный курс начального уровня для программистов, которые хотят научится применять нейронные сети для решения практических задач.
Нейронные сети на Python. Уроки
Углубленное изучение нейронных сетей на Python: от основ до продвинутых архитектур. Практические примеры реализации различных типов сетей с использованием Keras и TensorFlow.
Keras ile Derin Öğrenme
Keras kullanarak derin öğrenme tekniklerini öğrenin. Kanser tespitinden görüntü işlemeye, oyun yapay zekasından LSTM'e kadar çeşitli uygulamalarla pratik yapın.
Deep learning ด้วย tensorflow และ keras
เรียนรู้การสร้างโมเดล Deep Learning ด้วย TensorFlow และ Keras ตั้งแต่พื้นฐานจนถึงระดับสูง ครอบคลุมการติดตั้ง การใช้งาน และเทคนิคการปรับแต่งโมเดล
Deep Learning with Keras
Hướng dẫn lập trình Deep Learning với Keras từ cơ bản đến nâng cao, giúp người mới dễ dàng tiếp cận và ứng dụng thông qua các ví dụ thực tế.
Deep Learning Workshop for Satellite Imagery - Training & Prediction
Hands-on deep learning workshop for satellite imagery, covering model training, debugging, prediction, and advanced techniques like custom metrics, heatmaps, and model deployment.
Deep Learning Pipelines for High Energy Physics Using Apache Spark and Distributed Keras
Explore CERN's Apache Spark-based data pipeline for deep learning in High Energy Physics. Learn about distributed training of neural network classifiers using BigDL and Analytics Zoo for improved event filtering at LHC experiments.
Introduction to TensorFlow - Hands-on Workshop
Explore TensorFlow through hands-on practice, completing an end-to-end tutorial to gain practical skills in building and deploying machine learning models.
Training a Long-Short Term Memory Network for Melody Generation
Build and train an LSTM network for generating folk melodies using Tensorflow and Keras. Learn preprocessing, model architecture, training sequences, and testing the final model.
Python Classes for AI Model Subclassing and Fine-tuning
Master Python classes and their application in AI development, focusing on LLM fine-tuning and Vision transformer implementation with KERAS3 functionality.
AI on the Edge with Eclipse Kura - From Data Collection to Model Deployment
Discover how to build and deploy machine learning applications on edge devices using Eclipse Kura, from data collection through Kura Wires to model training and inference with Nvidia Triton Server.
Introduction to KERAS 3 Core for PyTorch and JAX
Explore KERAS 3's framework-agnostic capabilities for building neural networks and transformers across TensorFlow, PyTorch, and JAX platforms with advanced customization options.
Pre-Training BERT from Scratch - Building, Fine-Tuning, and Running Inference with KERAS NLP
Master BERT model pre-training, fine-tuning, and inference using TF2 and KERAS NLP through hands-on implementation of transformers for domain-specific tasks.
Text Vectorization Made Easy - A Tutorial on Keras Preprocessing Layers for AI
Master text vectorization techniques in Keras preprocessing layers for transforming natural language inputs into numerical sequences and building efficient AI input processing pipelines.
Experimental KERAS Feature Space for Medical AI Heart Attack Prediction
Dive into advanced feature scaling with KERAS Feature Space, building a medical AI system to predict heart attack probabilities using structured data classification and optimized data pipelines.
Deep Learning: Regularization and Neural Network Normalization Techniques - Lecture 7
Dive into advanced deep learning concepts including layer normalization, FRN, TLU, and Keras implementation while mastering essential regularization techniques and gradient management.