New York, NY
In-Person Training
Deep learning with TensorFlow (SOLD OUT)
9:00am - 5:00pm
What you'll learn, and how you can apply it
- Learn what machine learning, neural networks, deep learning, and artificial intelligence are
- Understand what TensorFlow is and what applications it's good for
- Create deep learning models for classification and regression using TensorFlow
- Evaluate the benefits and disadvantages of using TensorFlow over other machine learning software
This training is for you because...
- You're a software engineer or programmer with a background in Python, and you want to develop an understanding of machine learning.
- You have experience modeling or have a background in data science, and you want to learn TensorFlow and deep learning.
- You're in a nontechnical role, and you want to more effectively communicate with the engineers and data scientists in your company about TensorFlow and neural networks.
Prerequisites:
- Familiarity with Python, matrices, modeling, and statistics
- No experience with TensorFlow required
Outline
Day 1
- Introduction to TensorFlow
- Iterative algorithms
- Machine learning
- Basic neural networks
Day 2
- Deep neural networks
- Variational autoencoders
- Convolutional neural networks
- Adversarial noise
- DeepDream
- Recurrent neural networks
About your instructor
Dylan Bargteil is a data scientist in residence at the Data Incubator, where he works on research-guided curriculum development and instruction. Previously, he worked with deep learning models to assist surgical robots and was a research and teaching assistant at the University of Maryland, where he developed a new introductory physics curriculum and pedagogy in partnership with the Howard Hughes Medical Institute (HHMI). Dylan studied physics and math at the University of Maryland and holds a PhD in physics from New York University.
Conference registration
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Comments
Fair play. You should bring a laptop, as you will be reading and writing code.
Our cloud provider for this training is Digital Ocean.
There has to be some hardware requirements. I have chrome on my phone. But is that enough? :)
Would it be possible to learn the name of the cloud provider?
Thanks.
There are no hardware requirements. The reason there are no software requirements is because we have provisioned environments for you on a cloud provider, thus all the required software is already and installed and running on provisioned hardware.
Hello Dylan,
Is there any hardware requirement? May I please ask why there is no software required other than browser? Wouldn’t it be time saving for all if software are installed before coming to training?
The only program you will need a web browser; we recommend using Chrome or Firefox for best compatibility with the JupyterHub platform we’ll be using.
Hello. Is there anything that we need to bring installed on our computers to follow along in this training session?
There is no specific required reading prior to the training, but familiarity with Python (particularly NumPy) is critical and familiarity with basic calculus, linear algebra, and machine learning concepts is helpful, though not required.
Is there any reading required prior to this training?