TENSORFLOW 2.0 PRACTICAL ADVANCED
Ditulis pada: August 16, 2021
TENSORFLOW 2.0 PRACTICAL ADVANCED, Master Tensorflow 2.0, Google’s most powerful Machine Learning Library, with 5 advanced practical projects
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Created by Dr. Ryan Ahmed, Ph.D., MBA, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team, Mitchell Bouchard
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What you'll learn
- Build, train, test and deploy Advanced Artificial Neural Networks (ANNs) models using Google’s newly released TensorFlow 2.0.
- Understand the underlying theory and mathematics behind Generative Adversarial Neural Networks (GANs).
- Apply revolutionary GANs to generate brand new images using Keras API in TF 2.0.
- Understand the underlying theory and mathematics behind Auto encoders and Variational Auto Encoders (VAEs).
- Train and test Auto-Encoders to perform image compression and de-noising using Keras API in TF 2.0.
- Understand the underlying theory and mathematics behind DeepDream algorithm. Develop, train, and test State-of-the art DeepDream algorithm to create AI-based art masterpieces using Keras API in TF 2.0!
- Understand the intuition behind Long Short Term Memory (LSTM) Recurrent Neural Networks (RNNs).
- Train Long Short Term Memory (LSTM) networks to generate new Shakespeare-style text using Keras API in TF 2.0!
- Apply transfer learning to transfer knowledge from pre-trained MobileNet and ResNet networks to classify new images using TensorFlow 2.0 Hub.
- Develop ANNs models and train them in Google’s Colab while leveraging the power of GPUs and TPUs.
- Deploy AI models in practice using TensorFlow 2.0 Serving.
- Requirements
- PC with internet connection
- Recommended - The Ultimate Tensorflow 2.0 Practical Course
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