Deep learning Python with Certification In India
Shubham Yadav
CRAW Cyber Security PVT ltd, Lane No. 2, Saiyad ul Ajaib, Sainik Farm, Saket, New Delhi Information Security Consulting
Python Deep Learning Course Module
Python Deep Learning Course Module Overview Deep learning is the machine learning technique behind the most exciting capabilities in diverse areas like robotics, natural language processing, image recognition and artificial intelligence (including the famous AlphaGo). In this course, you’ll gain hands-on, practical knowledge of how to use deep learning with Keras 2.0, the latest version of a cutting edge library for deep learning in Python.
Pre-Requisites Python
The Numpy, Scipy, Pandas, and Matplotlib stack: prep for deep learning, machine learning, and artificial intelligence
? Understand linear algebra and the Gaussian distribution
? Be comfortable with coding in Python
? You should already know “why” things like a dot product, matrix inversion, and Gaussian probability distributions are useful and what they can be used for Duration- 30 Hours
Python Course Module:
Python Module 1
1) NumPy Crash Course Overview
2) Pandas Crash Course
3) Data Viz Crash Course
4) SciKit Learn Overview
Python Module 2
1) TensorFlow Basic Syntax
2) TensorFlow Graphs
3) Variables and Placeholders
4) TF Neural Network
Python Module 3
1) TensorFlow Regression Example
2) TensorFlow Classification Example
3) Regression Exercise
4) Classification Exercise
Python Module 4
1) Regression Exercise Solution
2) Classification Exercise Solution
3) Saving and Loading Models
4) Convolutional Neural Networks
Python Module 5
1) Basic Manual RNN
2) RNN with TF API
3) Time Series Exercise
4) Time Series Exercise Solutions
5) Word2Vec.ipynb
Python Module 6
2) Linear Autoencoder for PCA Exercise
3) Linear Autoencoder for PCA Exercise Solution
4) Stacked Autoencoder
Python Module 7
1) Generative Adversarial Networks
2) Example on GAN
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