What you'll learn
- Significant technological trends propelling the growth of deep learning
- Create, train, and deploy fully connected deep neural networks
- Use effective (vectorized) neural networks
- Determine critical parameters in the architecture of a neural network
- Implement deep learning in your applications
Who is this course for
- Beginners interested in deep learning
- People interested in machine language
- People from data science background willing to enhance their skills
After finishing this course, you will ace all things related to deep learning and neural network.
With this, you can get free access to
- Course Materials for Life
- Expertise in deep learning, machine language, and neural network
About Us
Over 100,000 students have received instruction from this online academy in topics including Lift Style, Fitness Training, Cyber Security, Ethical Hacking, Facebook Ads, SEO, Email Marketing, eCommerce, Business Investing, Social Media Marketing, Launching Your Own Business, and Marketing/Ad Agency!
We provide a wide variety of top-notch online courses that educate through real-world examples from subject matter experts and tried-and-true research, all supported by top-notch, studio vocally narrated videos! Teaching practical life skills, which are crucial in today's environment, is the focus.
Every course offered by this online learning academy is instructed by subject-matter specialists who genuinely love what they do and want to share it with others.
Course Curriculum
- 001. Welcome (5:31)
- 002. What is a neural network (7:16)
- 003. Supervised Learning with Neural Networks (8:29)
- 004. Why is Deep Learning taking off (10:21)
- 005. About this Course (2:27)
- 006. Course Resources (1:55)
- 007. Geoffrey Hinton interview (40:22)
- 008. Binary Classification (8:23)
- 009. Logistic Regression (5:59)
- 010. Logistic Regression Cost Function (8:11)
- 011. Gradient Descent (11:23)
- 012. Derivatives (7:10)
- 013. More Derivative Examples (10:27)
- 014. Computation graph (3:33)
- 015. Derivatives with a Computation Graph (14:34)
- 016. Logistic Regression Gradient Descent (6:42)
- 017. Gradient Descent on m Examples (8:00)
- 018. Vectorization (8:04)
- 019. More Vectorization Examples (6:19)
- 020. Vectorizing Logistic Regression (7:32)
- 021. Vectorizing Logistic Regression's Gradient Output (9:37)
- 022. Broadcasting in Python (11:06)
- 023. A note on python numpy vectors (6:49)
- 024. Quick tour of Jupyter iPython Notebooks (3:43)
- 025. Explanation of logistic regression cost function (optional) (7:14)
- 026. Pieter Abbeel interview (16:03)
- 027. Neural Networks Overview (4:26)
- 028. Neural Network Representation (5:14)
- 029. Computing a Neural Network's Output (9:58)
- 030. Vectorizing across multiple examples (9:05)
- 031. Explanation for Vectorized Implementation (7:37)
- 032. Activation functions (10:56)
- 033. Why do you need non-linear activation functions (5:36)
- 034. Derivatives of activation functions (7:57)
- 035. Gradient descent for Neural Networks (9:57)
- 036. Backpropagation intuition (optional) (15:48)
- 037. Random Initialization (7:57)
- 038. Ian Goodfellow interview (14:55)
- 039. Deep L-layer neural network (5:51)
- 040. Forward Propagation in a Deep Network (7:15)
- 041. Getting your matrix dimensions right (11:10)
- 042. Why deep representations (10:33)
- 043. Building blocks of deep neural networks (8:33)
- 044. Forward and Backward Propagation (10:29)
- 045. Parameters vs Hyperparameters (7:16)
- 046. What does this have to do with the brain (3:17)
Frequently Asked Questions
When does the course start and finish?
The course has begun and will never stop! You set the start and end dates for this entirely self-paced online course.
How long do I have access to the course?
Lifetime access—how does that sound? You receive unrestricted access to this course after registering for as long as you like, on any device you own.
Do I get a certificate?
Yes, when you complete the course, you will receive a certificate of completion which you can happily add to your resume or LinkedIn profile.
Can I cancel my subscription?
Yes you can. You have a 15-days money-back guarantee.
