Python Deep Learning Projects

Loading all the dependencies

In this chapter, we will be using the gensim module (https://github.com/RaRe-Technologies/gensim) to train our word2vec model. Gensim provides large-scale multi-core processing support to many popular algorithms, including Latent Dirichlet Allocation (LDA), Hierarchical Dirichlet Process (HDP), and word2vec. There are other approaches that we could take, such as the use of TensorFlow (https://github.com/tensorflow/models/blob/master/tutorials/embedding/word2vec_optimized.py) to define our own computation graph and build the model—this is something that we will look into later on.

Know the code! Python dependencies are quite manageable. You can learn more at https://packaging.python.org/tutorials/managing-dependencies/ ...