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Scalable Deep Learning with TensorFlow and Apache Spark

  • Tuition USD $1,500
  • Reviews star_rate star_rate star_rate star_rate star_half 1527 Ratings
  • Course Code DB401
  • Duration 2 days
  • Available Formats Classroom

This course starts with the basics of the tf.keras API including defining model architectures, optimizers, and saving/loading models. You then learn advanced concepts such as callbacks, regularization, TensorBoard, and activation functions. After training your models, you build integrations with the MLflow tracking API to reproduce and version your experiments. You will apply model interpretability libraries such as LIME and SHAP to understand how the network generates predictions. You will also gain familiarity with Convolutional Neural Networks (CNNs) and how to perform transfer learning to reduce model training time. Substantial class time is spent on scaling your deep learning applications, from distributed inference with pandas UDFs to distributed hyperparameter search with Hyperopt to distributed model training with Horovod. This course is taught fully in Python

Skills Gained

After taking this class, students will be able to:

  • Build deep learning models using Keras/TensorFlow
  • Tune hyperparameters at scale with Hyperopt
  • Track experiments using MLflow
  • Apply models at scale using pandas UDFs
  • Scale & train distributed models using Horovod
  • Apply model interpretability libraries to understand & visualize model predictions
  • Use CNNs (convolutional neural networks) and perform transfer learning to reduce model training time
  • Implement Generative Adversarial Networks

Who Can Benefit

Data scientist Machine learning engineer

Prerequisites

  • Intermediate experience with Python/pandas
  • Familiarity with machine learning concepts
  • Experience with Spark is helpful, but not required

Course Details

Additional Notes

  • The appropriate, web-based programming environment will be provided to students
  • This class is taught in Python only

Topics

Intro to Neural Networks with Keras

  • Neural network architectures
  • Activation functions
  • Evaluation metrics
  • Batch sizes, epochs, etc.

MLflow

  • Reproducible ML/DL

Convolutional Neural Networks

  • Convolutions
  • Batch Normalization
  • Max Pooling
  • ImageNet Architectures

Deep Learning Pipelines

  • Model inference at scale

Horovod

  • Distributed Tensorflow training
  • Ring-All Reduce

When does class start/end?

Classes begin promptly at 9:00 am, and typically end at 5:00 pm.

Does the course schedule include a Lunchbreak?

Lunch is normally an hour long and begins at noon. Coffee, tea, hot chocolate and juice are available all day in the kitchen. Fruit, muffins and bagels are served each morning. There are numerous restaurants near each of our centers, and some popular ones are indicated on the Area Map in the Student Welcome Handbooks - these can be picked up in the lobby or requested from one of our ExitCertified staff.

How can someone reach me during class?

If someone should need to contact you while you are in class, please have them call the center telephone number and leave a message with the receptionist.

What languages are used to deliver training?

Most courses are conducted in English, unless otherwise specified. Some courses will have the word "FRENCH" marked in red beside the scheduled date(s) indicating the language of instruction.

What does GTR stand for?

GTR stands for Guaranteed to Run; if you see a course with this status, it means this event is confirmed to run. View our GTR page to see our full list of Guaranteed to Run courses.

Does ExitCertified deliver group training?

Yes, we provide training for groups, individuals and private on sites. View our group training page for more information.

Does ExitCertified deliver group training?

Yes, we provide training for groups, individuals, and private on sites. View our group training page for more information.

The course was very high level but was able to understand all the topics covered.

Lab infraestructure is very suitable and works pretty good help to understand better the concepts exposed during the training.

ExitCertified education was extremely helpful for preparing me for the AWS certifications.

the class was setup very well and I feel that I will be able to take what I have learned and use.

Good job on providing details earlier and all the bookmark contend was nice to have.

0 options available

There are currently no scheduled dates for this course. If you are interested in this course, request a course date with the links above. We can also contact you when the course is scheduled in your area.

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