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installed tensorflow and pytorch in a separate environment
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installed tensorflow and pytorch in a separate environment
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I have installed TensorFlow in tf_env and Pytorch in pytorch_env.
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Chainer
MXnet
Pytorch
Keras(for experiment)
Tensorflow(for development)
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I have done this assignment.
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I have done this assignment.
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Assigements of Deep learningHow many libraries can be used in deep learning and machine learning tasks?1-TensorFlow: an open-source library for deep learning and numerical computations, developed by Google.2-PyTorch: a dynamic computational framework for building deep learning models, known for its research-friendly interface.3-Keras: A high-level deep learning library built on top of TensorFlow, providing an easy-to-use API for neural network construction.4-Scikit-learn: is a popular machine learning library in Python, offering a wide range of algorithms and tools for various tasks.5-Theano: Python library for efficient mathematical operations and optimization, commonly used as a backend for deep learning frameworks.6-Caffe: A deep learning framework known for its speed and efficiency, particularly for computer vision applications.7-MXNet: A flexible and efficient deep learning library supporting both imperative and symbolic programming.8-Microsoft Cognitive Toolkit (CNTK): Deep learning library by Microsoft, offering efficient computation and distributed training capabilities.9-H2O: Open-source machine learning platform with a high-level API for building and deploying models, capable of scaling to big data environments.10-Spark MLlib: A machine learning library provided by Apache Spark, offering distributed implementations of various algorithms.
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