Deep Learning with TensorFlow & Keras
Build neural networks hands-on with Python.
15h 23m
On-demand video
50
Lessons
Included
Certificate
Mobile & TV
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This course includes:
- 15h 23m on-demand video (free)
- 50 lessons
- Full lifetime access
- Access on mobile and TV
- Certificate of completion
What you'll learn
- Build and train neural networks
- Understand backpropagation and optimizers
- Work with CNNs for images
- Apply deep learning to real datasets
Official study guide
The complete 67-page companion book for Deep Learning with TensorFlow & Keras, covering every module with worked examples, key terms, self-check questions, and a full glossary. Print it or read it offline.
Tools & technologies
Industry-standard tools you'll work with in this course.
Course content
7 sections · 50 lessons · 15h 23m- Introduction | Deep Learning Tutorial 1 (Tensorflow Tutorial, Keras & Python)Preview3m
- Why deep learning is becoming so popular? | Deep Learning Tutorial 2 (Tensorflow2.0, Keras & Python)5m
- What is a neuron? | Deep Learning Tutorial 3 (Tensorflow Tutorial, Keras & Python)16m
- Neural Network Simply Explained | Deep Learning Tutorial 4 (Tensorflow2.0, Keras & Python)11m
- Install tensorflow 2.0 | Deep Learning Tutorial 5 (Tensorflow Tutorial, Keras & Python)2m
- Pytorch vs Tensorflow vs Keras | Deep Learning Tutorial 6 (Tensorflow Tutorial, Keras & Python)2m
- Neural Network For Handwritten Digits Classification | Deep Learning Tutorial 7 (Tensorflow2.0)36m
- Activation Functions | Deep Learning Tutorial 8 (Tensorflow Tutorial, Keras & Python)16m
Requirements
- •Python
- •Basic ML
About this course
Build neural networks hands-on with Python. This curated learning path is organized into 7 modules and 50 lessons, taught by codebasics. MegaCourse adds structure, learning outcomes, progress tracking, and a shareable certificate of completion.
Who this course is for
- ML practitioners
Instructor
Trusted creator on MegaCourse
Licensing & attribution
License: YouTube Standard License
Videos are embedded from their original creators and remain free to watch. MegaCourse's paid layer covers our own study guides, graded exams, certificates, and curation.
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