Python Best Courses

Deep Learning with Python and Keras – Python Best Courses

Deep Learning with Python and Keras - Python Best Courses Understand and build Deep Learning models for images, text and more using Python and Keras
Deep Learning with Python and Keras - Python Best Courses Understand and build Deep Learning models for images, text and more using Python and Keras

Deep Learning with Python and Keras – Python Best Courses

Understand and build Deep Learning models for images, text and more using Python and Keras

What you’ll learn

Deep Learning with Python and Keras – Python Best Courses

  • To describe what Deep Learning is in a simple yet accurate way
  • To distinguish which practical applications can benefit from deep learning
  • Learn how to install and use Python and Keras to build deep learning models
  • To apply deep learning to solve supervised and unsupervised learning problems involving images, text, sound, time series and tabular data.
  • To build, train and usefully connected, convolutional and recurrent neural networks
  • Learn how to look at the internals of a deep learning model without intimidation and with the ability to tweak its parameters
  • To train and run models in the cloud using a GPU
  • To estimate training costs for large models
  • Learn how to re-use pre-trained models to shortcut training time and cost (transfer learning)

Requirements

  • Knowledge of Python, familiarity with control flow (if/else, for loops) and pythonic constructs (functions, classes, tables, generators)
  • Use of bash shell (or equivalent command prompt) and basic commands to copy and move files
  • Basic knowledge of linear algebra (what is a vector, what is a matrix, how to calculate dot product)
  • Use of ssh to connect to a cloud computer

Description

We start with a review of Deep Learning applications and a recap of Machine Learning tools and techniques.

Over the rest of the course, we introduce and explain several architectures including Fully Connected, Convolutional and Recurrent Neural Networks, and for each of these, we explain both the theory and give plenty of example applications.

This course is a good balance between theory and practice. We don’t shy away from explaining mathematical details and at the same time, we provide exercises and sample code to apply what you’ve just learned.

The goal is to provide students with a strong foundation, not just theory, not just scripting, but both.

Who this course is for:

  • Software engineers who are curious about data science and about the Deep Learning buzz and want to get a better understanding of it
  • Data scientists who are familiar with Machine Learning and want to develop a strong foundational knowledge of deep learning
  • Content From: https://www.udemy.com/course/deep-learning-with-python-and-keras/
  • REST APIs with Flask and Python – Learn Python

Deep Learning with Python and Keras – Python Best Courses

Download Tutorial Button