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Category: TensorFlow

Posted on October 5, 2020October 5, 2020 by Triangle — Leave a comment

TensorFlow 2.0 Crash Course

TensorFlow 2.0 Crash Coursea

You need to understand properly how a neural network works in order to obtain the full potential and capabilities of TensorFlow.

How the architecture of a neural network works?

How Neural Networks are connected? What are Neural Network Layers?

Categories: Artificial Intelligence, Deep Learning, TensorFlow
Tag: crash course
Posted on October 3, 2020October 3, 2020 by Triangle — Leave a comment

How to use your trained model – Deep Learning basics with Python

Trained Model how to use it Deep Learning

Learn How to use your trained model – Deep Learning basics with Python, Keras for further importing to iOS for example…

Categories: Keras, TensorFlow
Tags: cv2, models, NLP
Posted on October 3, 2020October 3, 2020 by Triangle — Leave a comment

Model’s overfitting TensorFlow

How to solve your model’s overfitting by training and compiling the right way: the weights, the RNN, the Neurons. Configure the Build as the Artificial Intelligence pros.

Categories: Artificial Intelligence, Deep Learning, Keras, TensorFlow
Tags: NLP, overfitting, training
Posted on October 3, 2020October 3, 2020 by Triangle — Leave a comment

Saving and Loading Models – TensorFlow

Saving and loading models TensorFlow

Training can take hours, days perhaps months or weeks. Saving a model is crucial. Later one loading the model for retraining will boost and empower our project.

Categories: Keras, NLP, TensorFlow
Tags: keras, models
Posted on September 8, 2020September 8, 2020 by Triangle — Leave a comment

TensorFlow Image Classifier

Classifying images previously extracted as objects can be extremely useful to get a full scope of the picture and to further have good artificial intelligence decission making.

sources

https://www.tensorflow.org/tutorials/images/classification

Category: TensorFlow
Tags: deep learning, image classifier
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