PluralSight – Implement Time Series Analysis Forecasting And Prediction With Tensorflow 2.0

PluralSight – Implement Time Series Analysis Forecasting And Prediction With Tensorflow 2.0 Bookware-KNiSO
English | Size: 378.90 MB
Category: Tutorial


Time series analysis is one of the more difficult and confusing aspects of data science. This course will teach you how to use TensorFlow with time series data and generate high performing forecasts and predictions

Frontend Masters – Practical guide to deep learning with tensorflow 2.0 and keras

Frontend Masters – Practical guide to deep learning with tensorflow 2.0 and keras
English | Size: 3.98 GB
Category: Tutorial


Understand the evolution of machine learning, deep learning, and now artificial intelligence (AI). In this course, you’ll follow a series of practical examples of training machine learning models to come up with accurate predictions. You’ll use TensorFlow to create the models and Keras, a high-level Python API for building and training deep learning models on top of TensorFlow. Examples in this course include: identifying animal breeds in photos, analyzing blocks of text to determine which renowned author wrote it, and stylizing images trained by famous painters!

PluralSight – Getting Started with Tensorflow 2.0

PluralSight – Getting Started with Tensorflow 2.0 BOOKWARE-KNiSO
English | Size: 301.61 MB
Category: Tutorial


Release Notes: TensorFlow has long been a powerful and widely used framework for building and training neural network models. In recent years though other frameworks such as PyTorch have gained popularity specifically due to their intuitive programming model which uses dynamic execution graphs.

Skillshare – TensorFlow Python Neural Networks for Beginners-ViGOROUS

Skillshare – TensorFlow Python Neural Networks for Beginners-ViGOROUS
English | Size: 2.88 GB
Category: Tutorial


Learn how to use TensorFlow 2.0 in this full tutorial course for beginners. This course is designed for Python programmers looking to enhance their knowledge and skills in machine learning and artificial intelligence.

Packt – Practical Machine Learning with TensorFlow 2.0 and Scikit-Learn

Packt – Practical Machine Learning with TensorFlow 2.0 and Scikit-Learn-XQZT
English | Size: 2.33 GB
Category: Tutorial


Get to grips with TensorFlow 2.0 and scikit-learn
Learn
Fundamentals of machine learning (and introducing the benefits of scikit-learn)
Practical implementation with comprehensive examples of canonical machine learning, and supervised and unsupervised machine learning in scikit-learn
How to identify a problem, select the right model, and optimize it to get the best desired outcome: insights into data
TensorFlow 2.0 for deep learning with neural networks