Free statistical software | Deep learning software
Keras is an open-source software library that provides a Python interface for artificial neural networks. Keras acts as an interface for the TensorFlow library. Up until version 2.3, Keras supported multiple backends, including TensorFlow, Microsoft Cognitive Toolkit, Theano, and PlaidML. As of version 2.4, only TensorFlow is supported. Designed to enable fast experimentation with deep neural networks, it focuses on being user-friendly, modular, and extensible. It was developed as part of the research effort of project ONEIROS (Open-ended Neuro-Electronic Intelligent Robot Operating System), and its primary author and maintainer is François Chollet, a Google engineer. Chollet is also the author of the Xception deep neural network model. (Wikipedia).
Keras Tutorial 2021 | Creating Deep Learning Models Using Keras | Deep Learning | Simplilearn
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From playlist Simplilearn Live
What is Keras (Neural Networks for DH 09)
In this video, we begin exploring Keras and specifically why I recommend starting out with Keras and TensorFlow for your digital humanities project. We explore the strengths and weaknesses of Keras and TensorFlow as an API and Framework, respectively. We do this chiefly by comparing Keras
From playlist Machine Learning for Digital Humanities (DH)
Keras vs TensorFlow vs Pytorch | Deep Learning Frameworks Comparison 2021 | Simplilearn
With the Deep Learning scene being dominated by three main frameworks, it is very easy to get confused on which one to use? In this video on Keras vs Tensorflow vs Pytorch, we will clear all your doubts on which framework is better and which framework should be used by beginners, intermedi
From playlist AI & Machine Learning | Ronald Van Loon [2022 Updated]
Keras Tutorial For Beginners | Python Certification Training | Edureka | Python Live - 3
🔥AI & Deep Learning Training: https://www.edureka.co/ai-deep-learning-with-tensorflow This Edureka Tutorial on "Keras Tutorial" (Deep Learning Blog Series: https://goo.gl/4zxMfU) provides you a quick and insightful tutorial on the working of Keras along with an interesting use-case! Pytho
From playlist Edureka Live Classes 2020
Keras Tutorial For Beginners | Deep Learning Models Using Keras | Edureka | Deep Learning Rewind - 5
🔥Edureka Tensorflow Training - https://www.edureka.co/ai-deep-learning-with-tensorflow This Edureka Tutorial on "Keras Tutorial" (Deep Learning Blog Series: https://goo.gl/4zxMfU) provides you a quick and insightful tutorial on the working of Keras along with an interesting use-case. Chec
From playlist Deep Learning With TensorFlow Videos
Keras Tuner with Google Cloud Compute - Keras Examples
This video walkthroughs a series of new tutorials on integrating Google Cloud runtimes with the Keras Tuner library. I hope from this tutorial you are able to get a sense of how to setup hyperparameters, interface them in a model builder function, and connect your experiments to Google Clo
From playlist Keras Code Examples
Matthew and Chen guide us through the NLP workflows using Keras. Colab notebooks: https://colab.research.google.com/gist/mattdangerw/3d3f6d6bf717281b2a47b2e62b7397c5/hugging-face-talk-nlp-basics.ipynb https://github.com/chenmoneygithub/finetune-bert-with-HF-Keras/blob/main/Fine_tune_Huggi
From playlist Hugging Face Course Event
Image classification from scratch - Keras Code Examples
This example shows you how to train an Image classifier with your own custom dataset! Image Classification from Scratch: https://keras.io/examples/vision/image_classification_from_scratch/ Keras Code Examples: https://keras.io/examples/ Thank you for watching! Please subscribe and check
From playlist Keras Code Examples
PyTorch vs. TensorFlow - DataLoader example
I hope the Keras code series isn't off putting to people working with PyTorch! These videos will be interleaved throughout the Keras Code Examples to showcase similarities between the frameworks and show you how to leverage these Keras examples to improve your PyTorch skills if that's your
From playlist Keras Code Examples
KERAS preprocessing Layers (2/3)
Create your TensorFlow Data Pipeline for Text preprocessing and work w/ latest KERAS preprocessing Layers. Learn the latest TensorFlow functions and KERAS preprocessing layers to parallelize preprocessing your input data and training your Word2vec model (Part 2 of 3). To perform eff
From playlist Word2Vec and Node2vec (pure TensorFlow 2.7 + KERAS)