|5 days ago||5 days ago|
|Apache License 2.0||Apache License 2.0|
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I have issue with only __habs for half datatype? Please help!
1 project | reddit.com/r/CUDA | 15 Jun 2021
Alternatives to google collab?
1 project | reddit.com/r/computervision | 31 Jan 2021
Should you shuffle the input for a word2vec negative sampling model before or after assigning negative context pairs for each target word?
1 project | reddit.com/r/MLQuestions | 17 May 2022
I may have a few trust issues with the shuffle argument of keras' model.fit(), after experiencing this bug regarding shuffle='batch' first hand.
2 projects | reddit.com/r/u_Animus_Vacui | 9 May 2022
Has anyone ever experienced this ? details in the comments.
1 project | reddit.com/r/learnmachinelearning | 7 May 2022
it seems like other people have had this issue like another user mentioned when using dropout or BN (https://github.com/keras-team/keras/issues/6977) , the model does use dropout so that maybe it .
How to define max_queue_size, workers and use_multiprocessing in keras fit_generator()?
1 project | reddit.com/r/codehunter | 5 May 2022
Detailed explanation of model.fit_generator() parameters: queue size, workers and use_multiprocessing
Negative dimension size caused by subtracting 3 from 1 for 'Conv2D'
2 projects | reddit.com/r/codehunter | 27 Apr 2022
I'm using Keras with Tensorflow as backend , here is my code:
1 project | reddit.com/r/learnprogramming | 25 Apr 2022
How to get reproducible results in keras
2 projects | reddit.com/r/codehunter | 13 Apr 2022
Install Keras (http://keras.io/)
20+ Free Tools & Resources for Machine Learning
5 projects | dev.to | 31 Mar 2022
Keras Keras is an API for neural networks that helps doing quick research.
Installing Python3 in Linux
9 projects | dev.to | 28 Mar 2022
According to IBM, Artificial Intelligence (AI) is technology that instructs computers to mimic the human mind in decision-making and problem-solving. Machine Learning (ML) is a subset of AI that consist of procedures that leverage on mathematical data models and algorithms to make predictions. Python implements ML and AI with generally fewer lines of code and pre-built libraries and being a scientific language also comes in support of these technologies. Some of the libraries used in AI and ML include: Tensorflow, Scikit-Learn, Numpy, Keras, Theano
How to build your own chatbot NLP engine
7 projects | dev.to | 28 Mar 2022
At the core of the Xatkit NLU engine we have a Keras/Tensorflow model.
What are some alternatives?
tensorflow - An Open Source Machine Learning Framework for Everyone
MLP Classifier - A handwritten multilayer perceptron classifer using numpy.
scikit-learn - scikit-learn: machine learning in Python
xgboost - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
TFLearn - Deep learning library featuring a higher-level API for TensorFlow.
Prophet - Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
PyTorch-NLP - Basic Utilities for PyTorch Natural Language Processing (NLP)
pytorch-lightning - The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.
Pandas - Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
skflow - Simplified interface for TensorFlow (mimicking Scikit Learn) for Deep Learning
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration