Cover Image

QR Code

Learn TensorFlow 2.0 : implement machine learning and deep learning models with Python

Main Author:	Singh, Pramod
Other Authors:	Manure, Avinash
Subjects:	Machine learning Electronic books
Online Access:	http://library.unisel.edu.my/web/guest/mylibrary

Similar Items

Pro deep learning with TensorFlow 2.0 : a mathematical approach to advanced artificial intelligence in Python
by: Pattanayak, Santanu

Deep learning pipeline : building a deep learning model with TensorFlow
by: El-Amir, Hisham

Advanced deep learning with TensorFlow 2 and Keras : apply DL, GANs, VAEs, deep RL, unsupervised learning, object detection and segmentation, and more
by: Atienza, Rowel

Beginning deep learning with TensorFlow : work with Keras, MNIST data sets, and advanced neural networks
by: Long, Liangqu

Machine learning using TensorFlow cookbook : over 60 recipes on machine learning using deep learning solutions from Kaggle Masters and Google Developers Experts
by: Audevart, Alexia

Machine learning with TensorFlow
by: Shukla, Nishant

Applied deep learning with TensorFlow 2 : learn to implement advanced deep learning techniques with Python
by: Michelucci, Umberto

Deep learning through sparse and low-rank modeling

Advances in deep learning, artificial intelligence and robotics : proceedings of the 2nd International Conference on Deep Learning, Artificial Intelligence and Robotics, (ICDLAIR) 2020

Practical machine learning in Javascript : tensorflow.js for web developers
by: Gerard, Charley

Hands-on Python deep learning for the Web : integrating neural network architectures to build smart web apps with Flask, Django, and TensorFlow
by: Singh, Anubhav

Practical MATLAB deep learning : a project-based approach
by: Paluszek, Michael

Deep learning for data analytics : foundations, biomedical applications, and challenges

Deep learning

Next-generation machine learning with Spark : covers XGBoost, LightGBM, Spark NLP, distributed deep learning with Keras, and more
by: Quinto, Butch

Trends in deep learning methodologies : algorithms, applications, and systems

Practical machine learning for data analysis using python
by: Subasi, Abdulhamit

Interpreting machine learning models : learn model interpretability and explainability methods
by: Nandi, Anirban

Advancement of deep learning and its applications in object detection and recognition

Deep learning and parallel computing environment for bioengineering systems
by: Sangiah, Arun Kumar

Learning representation for multi-view data analysis : models and applications
by: Ding, Zhengming

Deep learning : a visual approach
by: Glassner, Andrew S.

Generative adversarial networks and deep learning : theory and applications

Swarm intelligence and evolutionary computation : theory, advances and applications in machine learning and deep learning
by: Kouziokas, Georgios N.

Statistical modeling in machine learning : concepts and applications

Hyperparameter tuning for machine and deep learning with : a practical guide

Machine learning for decision sciences with case studies in Python
by: Sumathi, S

Introduction to deep learning : from logical calculus to artificial intelligence
by: Skansi, Sandro
Published: (2018)

Machine learning for cyber security : 4th International Conference, ML4CS 2022, Guangzhou, China, December 2-4, 2022, proceedings : 4th International Conference, ML4CS 2022, Guangzhou, China, December 2-4, 2022, proceedings : part I

Deep learning and scientific computing with R torch
by: Keydana, Sigrid

Machine learning theory and applications : hands-on use cases with Python on classical and quantum machines
by: Vasques, Xavier

Hands-on machine learning with ML.NET : getting started with Microsoft ML.NET to implement popular machine learning algorithms in C#
by: Capellman, Jarred

Deep learning : from big data to artificial intelligence with R
by: Tuffery, Stephane

Machine learning : the basics
by: Jung, Alexander

Machine learning : theory and practice
by: Kalita, Jugal Kumar

Machine learning : theory to applications
by: Mirtaheri, Seyedeh Leili

Automated machine learning in action
by: Song, Qingquan

Representation in machine learning
by: Murty, M. Narasimha

Machine learning : concepts, techniques and applications
by: Geetha, T. V.

Machine learning crash course for engineers
by: Hossain, Eklas