5 Python frameworks for Deep Learning in 2021 - AskPython

Deep Learning is one of the hottest industry skill right now. Deep learning is being now being used in many sectors to solve problems that were previously thought unsolvable for eg: self-driving cars, face recognition/augmentation etc.

Coding a deep learning model from scratch is a tedious and mind-bending task. It requires a lot of expertise and time. So we use certain frameworks that provide us with the baseline for creating the models.

Python Frameworks for Deep Learning

Standing in 2021, they’re a lot of frameworks for Deep Learning in Python. These frameworks are different in terms of abstraction, usage, portability. Choosing your required framework from this list can be a bit difficult. So here is a list of the top 5 frameworks/libraries that you can consider learning in 2021.

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Introducing Deep Learning with Python: Learn Deep Learning in Python [2021]

Over the past few years, technologies like artificial intelligence (AI) and machine learning (ML) have been widely adopted and are no longer just “technology buzzwords.” We are beginning to realize the enormous potential of these evolving technologies through a variety of real-life applications like intelligent chatbots, personalized product recommendations, or self-driving cars.

Thanks to its increasing adoption, we are also talking of a connected world – where AI and ML can potentially replace human beings in work environments. How did AI and ML technologies prepare computers to do complex tasks like “learning by example,” – that comes naturally to most human beings?

This is where deep learning is playing a pivotal role. How does deep learning work – and how can you design intelligent models in deep learning with Python programming language? Let us discuss all this in the following sections.

What is Deep Learning?

What Makes Deep Learning so Different and Powerful?

How Do You Learn Deep Learning?

Understanding deep learning in Python

How to Create a Deep Learning in Python Project Using Keras?

Conclusion

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Python Packages in SQL Server – Get Started with SQL Server Machine Learning Services

Introduction

When installing Machine Learning Services in SQL Server by default few Python Packages are installed. In this article, we will have a look on how to get those installed python package information.

Python Packages

When we choose Python as Machine Learning Service during installation, the following packages are installed in SQL Server,

• revoscalepy – This Microsoft Python package is used for remote compute contexts, streaming, parallel execution of rx functions for data import and transformation, modeling, visualization, and analysis.
• microsoftml – This is another Microsoft Python package which adds machine learning algorithms in Python.
• Anaconda 4.2 – Anaconda is an opensource Python package

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Lambda, Map, Filter functions in python

Welcome to my Blog, In this article, we will learn python lambda function, Map function, and filter function.

Lambda function in python: Lambda is a one line anonymous function and lambda takes any number of arguments but can only have one expression and python lambda syntax is

Syntax: x = lambda arguments : expression

Now i will show you some python lambda function examples:

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Learn Python - Full Course for Beginners [Tutorial]

This course will give you a full introduction into all of the core concepts in python. Follow along with the videos and you’ll be a python programmer in no time!
⭐️ Contents ⭐
⌨️ (0:00) Introduction
⌨️ (1:45) Installing Python & PyCharm
⌨️ (6:40) Setup & Hello World
⌨️ (10:23) Drawing a Shape
⌨️ (15:06) Variables & Data Types
⌨️ (27:03) Working With Strings
⌨️ (38:18) Working With Numbers
⌨️ (48:26) Getting Input From Users
⌨️ (52:37) Building a Basic Calculator
⌨️ (58:27) Mad Libs Game
⌨️ (1:03:10) Lists
⌨️ (1:10:44) List Functions
⌨️ (1:18:57) Tuples
⌨️ (1:24:15) Functions
⌨️ (1:34:11) Return Statement
⌨️ (1:40:06) If Statements
⌨️ (1:54:07) If Statements & Comparisons
⌨️ (2:00:37) Building a better Calculator
⌨️ (2:07:17) Dictionaries
⌨️ (2:14:13) While Loop
⌨️ (2:20:21) Building a Guessing Game
⌨️ (2:32:44) For Loops
⌨️ (2:41:20) Exponent Function
⌨️ (2:47:13) 2D Lists & Nested Loops
⌨️ (2:52:41) Building a Translator
⌨️ (3:00:18) Comments
⌨️ (3:04:17) Try / Except
⌨️ (3:12:41) Reading Files
⌨️ (3:21:26) Writing to Files
⌨️ (3:28:13) Modules & Pip
⌨️ (3:43:56) Classes & Objects
⌨️ (3:57:37) Building a Multiple Choice Quiz
⌨️ (4:08:28) Object Functions
⌨️ (4:12:37) Inheritance
⌨️ (4:20:43) Python Interpreter
📺 The video in this post was made by freeCodeCamp.org
The origin of the article: https://www.youtube.com/watch?v=rfscVS0vtbw&list=PLWKjhJtqVAblfum5WiQblKPwIbqYXkDoC&index=3

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