Applied deep learning with Python

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Bibliografiske detaljer
Hovedforfatter:	Galea, Alex
Format:	Bog
Sprog:	engelsk
Fag:	BSCIT
Tags:	Tilføj Tag Ingen Tags, Vær først til at tagge denne postø!

Lignende værker

Deep learning from scratch
af: Weidmann, Seth

Python machine learning
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Learning React
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Python for beginners
af: Borate, Rahul

Python for everybody
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Python GUI programming cookbook
af: Meier, Burkhard

Think python
af: Downey, Alan

Hands on machine learning with scikit Learn
af: Geron, Aurelian

Learning R
af: Maurya, Rajesh

Head first Python : a brain friendly guide
af: Barry, Paul

Machine learning algorithms
af: Bonaccorso, Giuseppe

Programming through Python
af: Savaliya, M.T

Introduction to computing and problem solving using python
af: Balagurusamy, E.

Practical programmimg : an introduction to computer science using python
af: Gries, Paul

Deep Learning With Python
af: Chollet, Francois
Udgivet: (2021)

Deep Learning with Python
af: Chollet, François
Udgivet: (2018)

Deep Learning with Python
af: Chollet, F
Udgivet: (2018)

GATE 2020 Mathematics
af: GKP

GATE 2020 General Aptitude
af: GKP

Beginning ASP.NET 4.5 in C#
af: MacDonald, Matthew

Object oriented programming with C++
af: Balagurusamy, E.

Mastering C++
af: Venugopal, K.R

Data communication and networking
af: Forouzan, Behrouz

C++ for beginners
af: Harwani, B.M

Designing data intensive applications

Blockchain for beginners
af: Yathish, R.

Understanding open source and free software licensing
af: Laurent, Andrew

Data science from Scratch
af: Grus, Joel

Embedded system design
af: Verma, Gaurav

Angular JS Up and running
af: Seshadri, Shyam

Murach's my SQL
af: Murach, Joel

Database management systems
af: Suganthi ,J

NTA CSIR UGC NET/SET mathematical sciences
af: Arihant

Let us C
af: Kanetkar, Yashvant

Big talk, small talk : and everything in between
af: Kaye, Shola

The myth of artificial intelligence
af: Larson, Erik

Millions billions zillions
af: Keringhan, Brian

Cyber and you
af: Kendal, Maureen

Data Science and Big Data Analytics
af: EMC

SDN and NFV simplified
af: Doherty,Jim