Udemy – Tensorflow 2.0 Deep Learning and Artificial Intelligence

Udemy – Tensorflow 2.0 Deep Learning and Artificial Intelligence
English | Size: 6.96 GB
Category: Udemy

Neural Networks for Computer Vision, Time Series Forecasting, NLP, GANs, Reinforcement Learning, and More! [Read more…]

Addison Wesley Professional Deep Learning with TensorFlow Keras and PyTorch Sneak Peak

Addison Wesley Professional Deep Learning with TensorFlow Keras and PyTorch Sneak Peak-RiDWARE
English | Size: 1.19 GB
Category: Tutorial

An intuitive, application-focused introduction to deep learning and TensorFlow, Keras, and PyTorch [Read more…]

Udemy – Machine Learning (ML) Bootcamp Python, TensorFlow, Colab

Udemy – Machine Learning (ML) Bootcamp Python, TensorFlow, Colab
English | Size: 956.27 MB
Category: CBTs

Machine Learning (ML) Bootcamp Python, TensorFlow, Colab,
Master the 3 M’s of ML: Maths, Methods and Machine
Do you want to master Machine Learning (ML) – the key field of the future?
[Read more…]

PluralSight – Build, Train, and Deploy Your First Neural Network with TensorFlow

PluralSight – Build, Train, and Deploy Your First Neural Network with TensorFlow-JGTiSO
English | Size: 363.07 MB
Category: Tutorial

In this course, you will learn the basic principles of machine learning and neural networks so you can quickly create, train, and deploy a neural network with TensorFlow. [Read more…]

Packt – Google Cloud Machine Learning with TensorFlow

Packt – Google Cloud Machine Learning with TensorFlow-XQZT
English | Size: 678.94 MB
Category: Tutorial

TensorFlow has become the first choice for deep learning tasks because of the way it facilitates building powerful and sophisticated neural networks. The Google Cloud Platform is a great place to run TF models at scale, and perform distributed training and prediction.
[Read more…]

Packt – – Master Deep Learning with TensorFlow 2.0 in Python

Packt – – Master Deep Learning with TensorFlow 2.0 in Python
English | Size: 2.30 GB
Category: Python


Build deep learning algorithms with TensorFlow 2.0, dive into neural networks, and apply your skills in a business case.
Key Features
Build deep learning algorithms from scratch in Python using NumPy and TensorFlow
Set yourself apart from the competition with hands-on deep- and machine-learning experience
Grasp the math behind deep learning algorithms [Read more…]

Pluralsight – Image Understanding with TensorFlow on GCP

Pluralsight – Image Understanding with TensorFlow on GCP-BOOKWARE-KNiSO
English | Size: 1.28 GB
Category: Tutorial


Release Notes: In this course, we will take a look at different strategies for building an image classifier using convolutional neural networks. We’ll improve the model’s accuracy with augmentation, feature extraction, and fine-tuning hyperparameters while trying to avoid overfitting our data We will also look at practical issues that arise, for example, when you don t have enough data and how to incorporate the latest research findings into our models. You will get hands-on practice building and optimizing your own image classification models on a variety of public datasets in the labs we ll work on together [Read more…]

PluralSight – End to End Machine Learning with TensorFlow on GCP

PluralSight End to End Machine Learning with TensorFlow on GCP-BOOKWARE-KNiSO
English | Size: 666.81 MB
Category: Tutorial


One of the best ways to review something is to work with the concepts and technologies that you have learned. So, this course is set up as a workshop and in this workshop, you will do End-to-End Machine Learning with TensorFlow on Google Cloud Platform. It involves building an end-to-end model from data exploration all the way to deploying an ML model and getting predictions from it [Read more…]

Packt Hands-On Unsupervised Learning with TensorFlow 2.0

Packt Hands-On Unsupervised Learning with TensorFlow 2.0 PROPER-XQZT
English | Size: 367.38 MB
Category: Tutorial


Learn unsupervised learning in Python with hands-on practical applications for each learning model

Nowadays, machine learning is becoming increasingly important to businesses. It is used to solve various business problems using supervised and unsupervised algorithms. In unsupervised learning, Artificial Intelligence systems try to categorize unlabeled and unsorted data based on the similarities and differences that exist among data. In this case, the capabilities of unsupervised learning methods to generate a model based on data make it possible to deal with complex and more difficult problems in comparison with the capabilities of supervised learning. In this course, we examine different unsupervised learning methods and solve practical problems using the TensorFlow platform. Solving examples of real-world problems using TensorFlow is more inspiring and compelling and will enhance your practical skills. [Read more…]

Pluralsight – Serverless Machine Learning with Tensorflow on Google Cloud Platform

Pluralsight – Serverless Machine Learning with Tensorflow on Google Cloud Platform-XQZT
English | Size: 819.47 MB
Category: Tutorial


This course covers how to build, scale and operationalize machine learning models on Google Cloud Platform. On GCP, you build ML models with TensorFlow, an open-source ML package and you can train and deploy them in a serverless way using Cloud ML Engine. [Read more…]