Data Processing for Neural Network Training with Keras with TensorFlow
-
Frank
- May 27, 2020
- activation function
- AI
- artificial intelligence
- artificial neural network
- backpropagation
- CNN
- convolution
- Convolutional Neural Network
- CUDA
- cuDNN
- Data
- Deep Learning
- Education
- Educational
- get started
- GPU
- image classification
- jupyter notebook
- Keras
- Machine Learning
- neural net
- Neural Network
- Python
- relu
- Sequential model
- SGD
- stochastic gradient descent
- Supervised Learning
- TensorFlow
- Tensorflow 2.0
- tf.keras
- Transfer Learning
- Tutorial
- Unsupervised Learning
deeplizard demonstrates how to process numerical data that we’ll later use to train our very first artificial neural network in this video.
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TensorFlow and Keras GPU Support – CUDA GPU Setup
-
Frank
- May 21, 2020
- activation function
- AI
- artificial intelligence
- artificial neural network
- backpropagation
- CNN
- convolution
- Convolutional Neural Network
- CUDA
- cuDNN
- Deep Learning
- Education
- Educational
- get started
- GPU
- image classification
- jupyter notebook
- Keras
- Machine Learning
- neural net
- Neural Network
- Nvidia
- Python
- relu
- Sequential model
- SGD
- stochastic gradient descent
- Supervised Learning
- TensorFlow
- Tensorflow 2.0
- tf.keras
- Transfer Learning
- Tutorial
- Unsupervised Learning
In this video, deeplizard discusses GPU support for TensorFlow and the integrated Keras API and how to get your code running with a GPU.
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Keras Installation and TensorFlow Integration
-
Frank
- May 14, 2020
- .NET
- activation function
- AI
- artificial intelligence
- artificial neural network
- backpropagation
- CNN
- convolution
- Convolutional Neural Network
- cuDNN
- Deep Learning
- Education
- Educational
- get started
- GPU
- image classification
- jupyter notebook
- Keras
- Machine Learning
- neural net
- Neural Network
- Python
- relu
- Sequential model
- SGD
- stochastic gradient descent
- Supervised Learning
- TensorFlow
- Tensorflow 2.0
- tf.keras
- Transfer Learning
- Tutorial
- Unsupervised Learning
In this episode, deeplizard discusses the Keras integration with TensorFlow (tf.keras), compatibility requirements, and how to get Keras installed on your machine!
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Keras Prerequisites – Getting Started with Neural Networks
-
Frank
- May 11, 2020
- .NET
- activation function
- AI
- artificial intelligence
- artificial neural network
- backpropagation
- CNN
- convolution
- Convolutional Neural Network
- cuDNN
- Deep Learning
- Education
- Educational
- get started
- GPU
- image classification
- jupyter notebook
- Keras
- Machine Learning
- neural net
- Neural Network
- Python
- relu
- Sequential model
- SGD
- stochastic gradient descent
- Supervised Learning
- TensorFlow
- Tensorflow 2.0
- tf.keras
- Transfer Learning
- Tutorial
- Unsupervised Learning
deeplizard has put together a course on how to use Keras. In this course, we will learn how to use Keras, a neural network API written in Python! In this episode, we discuss the prerequisites required to start working with Keras, why Keras is a good library to learn, and what resources you’ll have available […]
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TensorFlow 2.0 Tutorial – Part 2: Image Classification
-
Frank
- May 10, 2020
- applications of TensorFlow
- Convolutional Neural Networks
- edureka
- image classification with CNN
- image classification with TensorFlow
- Keras sequential API
- mnist digit data
- mnist fashion data
- Neural Networks
- Python
- Python basics
- python edureka
- python for beginners
- python programming
- python projects
- python tutorial
- Tensorflow 2.0
- Tensorflow 2.0 tutorial
- Tensorflow hello world with image classification
- Tensorflow projects
- tensorflow tutorial
edureka! recently live streamed this tutorial on image classification in TensorFlow 2.0
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TensorFlow 2.0 Tutorial – Part 1
-
Frank
- May 10, 2020
- applications of TensorFlow
- edureka
- new features of TensorFlow 2.0
- Python
- Python basics
- python edureka
- python for beginners
- python programming
- python projects
- python tutorial
- Tensorflow 2.0
- tensorflow 2.0 full tutorial
- Tensorflow 2.0 tutorial
- tensorflow 2.0 tutorial for beginners
- tensorflow tutorial
- tensorflow tutorial for beginners
- tensorflow tutorial python
- what is ai
- what is deep learning
- what is ML
- why use TensorFlow
edureka! recently streamed this TensorFlow 2.0 tutorial.
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Linear Regression: Concepts and Applications With TensorFlow 2.0
Linear regression is likely the first algorithm that you would learn when starting down a career path in data science or AI, because it’s simple to implement and easy to apply in real-time. Here’s a great primer on how to do linear regression in TensorFlow 2.0. This algorithm is widely used in data science and […]
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TensorFlow 2.0 Tutorial for Deep Learning
TensorFlow started as an open-source deep learning library and has today evolved into an end to end machine learning platform that includes tools, libraries and resources for the research community to push the state of the art in deep learning and developers in the industry to build ML & DL powered applications. Best of all, […]
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TensorFlow 2.0 Complete 7 Hour Course
Learn how to use TensorFlow 2.0 in this full tutorial course for beginners. This course is designed for Python programmers looking to enhance their knowledge and skills in machine learning and artificial intelligence. Throughout the 8 modules in this course you will learn about fundamental concepts and methods in ML & AI like core learning […]
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Introduction to TensorFlow 2.0
-
Frank
- November 5, 2019
- #TFWorld
- AI
- API
- APIs
- artificial intelligence
- Google AI
- intro to TensorFlow 2.0
- introduction to TensorFlow 2.0
- Josh Gordon
- Machine Learning
- ML
- O'Reilly
- O'Reilly TensorFlow World
- Santa Clara Convention Center
- TensorFlow
- Tensorflow 2.0
- TensorFlow 2.0 introduction
- TensorFlow World
- TensorFlow World 19
- TensorFlow World 2019
- TF World
- TF World 19
- TF World 2019
- TFWorld 19
- TFWorld 2019
TensorFlow 2.0 is all about ease of use, and there has never been a better time to get started. In this talk, learn about model-building styles for beginners and experts, including the Sequential, Functional, and Subclassing APIs. We will share complete, end-to-end code examples in each style, covering topics from “Hello World” all the way […]
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