Artificial intelligence (AI) aims to simulate human intelligence to think and learn like humans do and mimic their actions.
Machine learning automates analytical model building. It's a generic algorithm to learn from data, identify patterns and make decisions.
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.
This portfolio has Convolutional Neural Network and Sequence Models projects.
We develop and train deep learning models such as:
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.
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.
A convolution neural network is used for image classification problems.
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.
Creating and training faster deep learning models on the Cloud.
Improving gradient checking, initialization and regularization for faster training and get better results.
Dive Into Deep Learning team create, develop, train, optimize deep learning models.
Create, develop, train and optimize different types of deep learning models.
Improve deep learning models using different techniques such as changing hyperparameters, improve training data, etc.
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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