Dive into

We develop, train and optimize
DL and ML models.


Artificial Intelligence

Artificial intelligence (AI) aims to simulate human intelligence to think and learn like humans do and mimic their actions.

  • Deep Learning
  • Machine learning

Machine Learning

Machine learning automates analytical model building. It's a generic algorithm to learn from data, identify patterns and make decisions.

  • Supervised Learning
  • Unsupervised Learning

Deep Learning

Deep learning is a subset of machine learning in AI. A deep neural network is capable of learning unsupervised from data that is unstructured or unlabeled.

  • Convolutional Neural Networks
  • NLP
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Deep learning models

We develop and train deep learning models such as:

  • Convolutional Neural Network
  • NLP
  • LSTM
  • Recurrent Neural Networks

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Improving deep neural networks

Advanced optimization methods speed up training and perhaps even get you to a better final value for the cost function. Having a good optimization algorithm can help you to reduce training time from days to just a few hours.

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Deep learning on the Cloud

Developing on the cloud allows large datasets to be easily ingested and managed for training, and to scale efficiently and at lower costs using GPU processing power. We design and train deep learning applications faster on the cloud.

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Our Services

Convolutional neural network

A convolution neural network is used for image classification problems.

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It is used Deep Learning and NLP to understand complex language utterances. For example, it is used NLP to translate text from English to French, generate music, stories, etc.

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Deep learning on the Cloud

Creating and training faster deep learning models on the Cloud.

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Improving deep neural networks

Improving gradient checking, initialization and regularization for faster training and get better results.

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About Us

Dive Into Deep Learning team create, develop, train, optimize deep learning models.

Deep Learning Specialties

Create, develop, train and optimize different types of deep learning models.

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Improving deep learning models

Improve deep learning models using different techniques such as changing hyperparameters, improve training data, etc.

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Our Team

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Yazmin Villegas

Deep Learning Engineer

Ph.D. Yazmin Villegas is a deep learning engineer. She also received a Diploma in Six Sigma Green Belt from Arizona State University in 2009. She has a Python for Everybody Specialization from the University of Michigan in 2019, a Deep Learning Specialization and a Tensorflow in Practice Specialization from deeplearning.ai in 2019.

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