Introduction to deep learning
for professional software developers and engineers.
Deep Learning for Developers

Future workshops in Tel Aviv and SF Bay Area

Workshop

Contact me to be updated about future workshops or discuss a workshop at your company.

Instructor

Faculty at School of Computer Science, IDC Herzliya; 8-year experience teaching scientific Python in Academia and Industry.

Audience

Software developers and engineers interested in a pratctial introduction to deep learning.

Topics

An introduction to data processing, analysis, and visualization with Python combined with a primer in deep learning with neural networks.

Time

2-3 days, 16-24 hours of interactive face-to-face sessions (not a webinar).

Hands-on approach

Instruction with code. Built-in exercises and problems. Laptops open with source code throughout all sesssions.

Python, TensorFlow, Keras & Jupyter

Coding in Python, inside interactive Jupyter notebooks, using TensorFlow, the deep learning library developed by Google, and Keras.

Details

What to expect and what's expected.

  • Day 1

    Intro to Neural Networks

    Understanding the math behind neural networks using Python and its scientific stack.

  • Day 2

    Feed forward, Convolutional and Recurrent Neural Networks

    Training and using neural networks using Python, TensorFlow, and Keras.

  • Prerequisites

    Mainly coding skills

    Experience in software development (not necessarily Python) and a basic understanding of statistics, linear algebra, and calculus (BSc in exact sciences or similar).

  • Setup

    Install Pyton on your laptop

    Install the Anaconda Python 3.6 Distribution for free. Run the following command from the terminal to make sure everything is ready:
    python -c "import tensorflow as tf;print(tf.Session().run(tf.constant('Hello, World!')))"

  • Preparation

    Read and exercise

    Do some preliminary reading (2-3 hours) and exercises (3-4 hours after each day) at home or the office.

About me

Yoav Ram, PhD

Technical Instructor

I'm a Faculty member of the School of Computer Science at IDC Herzliya. I was a postdoctoral fellow at Stanford University and earned my PhD in Mathematical & Computational Biology from Tel Aviv University. I've been teaching Python in Academia and Industry for the past 8 years, including at Tel Aviv University, Applied Materials, and KLA-Tencor.

I enjoy solving and communicating complex problems and ideas. I develop and deliver Python programming workshops focused on numerical, scientific, and statistical applications in Israel, California, and anywhere else I'm needed.

For more details and offerings click here.

Contact

Use this form to get notified about future workshops.

We can also discuss workshops at your company.

Feel free to email me directly.


Number of expected participants