Practical Deep Learning with Tensorflow 2.x and Keras

Practical Deep Learning with Tensorflow 2.x and Keras, available at $59.99, has an average rating of 4.6, with 34 lectures, based on 437 reviews, and has 2593 subscribers.

You will learn about Be able to run deep learning models with Keras on Tensorflow 2 backend Run Deep Neural Networks on a real-world scientific protein dataset Understand how to feed own data to deep learning models (i.e. handling the notorious shape mismatch issue) Understand Deep Learning, CNN, dropout, functional API with minimal of math Understand and use Keras' functional API to create models with multiple inputs and outputs Learn how to do Transfer Learning practically Stunning SUPPORT. I answer questions on the same day. This course is ideal for individuals who are Anyone who wants to learn machine learning (this course is a soft introduction) or Anyone who knows machine learning and wants to learn deep learning (this course focuses on deep learning) or Anyone who knows deep learning but needs help applying their knowledge in practice (this is a very applied course) or Anyone who is comfortable with deep learning models but has trouble processing examples beyond the toy examples covered in typical courses (this course has a real-world case study and not just toy examples) or Anyone who is a researcher or educator working in machine learning and wants to move from theory to practice It is particularly useful for Anyone who wants to learn machine learning (this course is a soft introduction) or Anyone who knows machine learning and wants to learn deep learning (this course focuses on deep learning) or Anyone who knows deep learning but needs help applying their knowledge in practice (this is a very applied course) or Anyone who is comfortable with deep learning models but has trouble processing examples beyond the toy examples covered in typical courses (this course has a real-world case study and not just toy examples) or Anyone who is a researcher or educator working in machine learning and wants to move from theory to practice.

Enroll now: Practical Deep Learning with Tensorflow 2.x and Keras

Summary

Title: Practical Deep Learning with Tensorflow 2.x and Keras

Price: $59.99

Average Rating: 4.6

Number of Lectures: 34

Number of Published Lectures: 34

Number of Curriculum Items: 34

Number of Published Curriculum Objects: 34

Original Price: $79.99

Quality Status: approved

Status: Live

What You Will Learn

• Be able to run deep learning models with Keras on Tensorflow 2 backend
• Run Deep Neural Networks on a real-world scientific protein dataset
• Understand how to feed own data to deep learning models (i.e. handling the notorious shape mismatch issue)
• Understand Deep Learning, CNN, dropout, functional API with minimal of math
• Understand and use Keras' functional API to create models with multiple inputs and outputs
• Learn how to do Transfer Learning practically
• Stunning SUPPORT. I answer questions on the same day.

Who Should Attend

• Anyone who wants to learn machine learning (this course is a soft introduction)
• Anyone who knows machine learning and wants to learn deep learning (this course focuses on deep learning)
• Anyone who knows deep learning but needs help applying their knowledge in practice (this is a very applied course)
• Anyone who is comfortable with deep learning models but has trouble processing examples beyond the toy examples covered in typical courses (this course has a real-world case study and not just toy examples)
• Anyone who is a researcher or educator working in machine learning and wants to move from theory to practice

Target Audiences

• Anyone who wants to learn machine learning (this course is a soft introduction)
• Anyone who knows machine learning and wants to learn deep learning (this course focuses on deep learning)
• Anyone who knows deep learning but needs help applying their knowledge in practice (this is a very applied course)
• Anyone who is comfortable with deep learning models but has trouble processing examples beyond the toy examples covered in typical courses (this course has a real-world case study and not just toy examples)
• Anyone who is a researcher or educator working in machine learning and wants to move from theory to practice