Practical Deep Learning with Keras and Python
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Practical Deep Learning with Keras and Python at Eduonix Overview
Duration | 8 hours |
Mode of learning | Online |
Schedule type | Self paced |
Difficulty level | Intermediate |
Credential | Certificate |
Practical Deep Learning with Keras and Python at Eduonix Highlights
- Earn a certificate of learning on course completion
- Lifetime Access. No Limits!
- A great course for learning Machine Learning
- Self paced Course
Practical Deep Learning with Keras and Python at Eduonix Course details
- This course is for you if you are new to Machine Learning but want to learn it without all the math. This course is also for you if you have had a machine learning course but could never figure out how to use it to solve your own problems.
Practical Deep Learning with Keras and Python at Eduonix Curriculum
Section 1 : Introduction
Dive into Machine Learning
Making Predictions
Section 2 : A Bit of Theory
Machine Learning Pipeline
Regression
Binary and Multi-class Classification
Recap and a Link to More Theory
Section 3 : Installation and Setup
Environment setup for Windows (and some issues with it)
Environment setup for Mac and Linux
Section 4 : Say Hi to Keras
Data Preparation
Training and Testing
Section 5 : Real World Case Study: Predicting Protein Functions
Problem Description and Data View
Pre-processing the Data
Loading Data and Getting the Shapes Right
Train, Test Split
Shapes in Depth (or how not to have headaches for days)
Sequential Model
Functional API
Section 6 : Convolutional Neural Networks (CNN)
Basics and Rationale
CNN in Keras (or why Keras is better than your ML tool)
Pooling (and why it's not that important)
Dropout (and why you should always consider it)
Section 7 : Graph-based Models
Functional API for CNN
Inception Module
Residual Connections
Section 8 : Finishing Touches
Saving and Loading Model Weights
Parting Words
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