Udemy - A Complete Guide on TensorFlow 2.0 using Keras API

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[ DevCourseWeb.com ] Udemy - A Complete Guide on TensorFlow 2.0 using Keras API
  • Get Bonus Downloads Here.url (0.2 KB)
    • ~Get Your Files Here ! 01 - Introduction
    • 001 Welcome to the TensorFlow 2.0 course! Discover its structure and the TF toolkit.mp4 (146.3 MB)
    • 001 Welcome to the TensorFlow 2.0 course! Discover its structure and the TF toolkit_en.vtt (24.2 KB)
    • 002 Course Curriculum & Colab Toolkit.html (0.5 KB)
    • 003 BONUS 10 advantages of TensorFlow.html (0.6 KB)
    • 004 BONUS Learning Path.html (1.4 KB)
    02 - TensorFlow 2.0 Basics
    • 001 From TensorFlow 1.x to TensorFlow 2.0.mp4 (114.8 MB)
    • 001 From TensorFlow 1.x to TensorFlow 2.0_en.vtt (15.5 KB)
    • 002 Constants, Variables, Tensors.mp4 (23.1 MB)
    • 002 Constants, Variables, Tensors_en.vtt (12.0 KB)
    • 003 Operations with Tensors.mp4 (19.5 MB)
    • 003 Operations with Tensors_en.vtt (8.3 KB)
    • 004 Strings.mp4 (14.8 MB)
    • 004 Strings_en.vtt (8.1 KB)
    • external-assets-links.txt (0.1 KB)
    03 - Artificial Neural Networks
    • 001 Project Setup.mp4 (22.3 MB)
    • 001 Project Setup_en.vtt (8.0 KB)
    • 002 Data Preprocessing.mp4 (21.1 MB)
    • 002 Data Preprocessing_en.vtt (9.3 KB)
    • 003 Building the Artificial Neural Network.mp4 (22.9 MB)
    • 003 Building the Artificial Neural Network_en.vtt (13.5 KB)
    • 004 Training the Artificial Neural Network.mp4 (17.3 MB)
    • 004 Training the Artificial Neural Network_en.vtt (9.6 KB)
    • 005 Evaluating the Artificial Neural Network.mp4 (11.2 MB)
    • 005 Evaluating the Artificial Neural Network_en.vtt (6.1 KB)
    • 006 HOMEWORK Artificial Neural Networks.html (0.5 KB)
    • 007 HOMEWORK SOLUTION Artificial Neural Networks.html (0.4 KB)
    • external-assets-links.txt (0.1 KB)
    04 - Convolutional Neural Networks
    • 001 Project Setup & Data Preprocessing.mp4 (17.2 MB)
    • 001 Project Setup & Data Preprocessing_en.vtt (10.0 KB)
    • 002 Building the Convolutional Neural Network.mp4 (56.6 MB)
    • 002 Building the Convolutional Neural Network_en.vtt (18.3 KB)
    • 003 Training and Evaluating the Convolutional Neural Network.mp4 (19.8 MB)
    • 003 Training and Evaluating the Convolutional Neural Network_en.vtt (10.0 KB)
    • 004 HOMEWORK Convolutional Neural Networks.html (0.5 KB)
    • 005 HOMEWORK SOLUTION Convolutional Neural Networks.html (0.6 KB)
    • external-assets-links.txt (0.1 KB)
    05 - Recurrent Neural Networks
    • 001 Project Setup & Data Preprocessing.mp4 (28.9 MB)
    • 001 Project Setup & Data Preprocessing_en.vtt (9.3 KB)
    • 002 Building the Recurrent Neural Network.mp4 (15.0 MB)
    • 002 Building the Recurrent Neural Network_en.vtt (8.4 KB)
    • 003 Training and Evaluating the Recurrent Neural Network.mp4 (17.3 MB)
    • 003 Training and Evaluating the Recurrent Neural Network_en.vtt (9.6 KB)
    • external-assets-links.txt (0.1 KB)
    06 - Transfer Learning and Fine Tuning
    • 001 What is Transfer Learning.mp4 (46.5 MB)
    • 001 What is Transfer Learning_en.vtt (5.5 KB)
    • 002 Project Setup.mp4 (44.5 MB)
    • 002 Project Setup_en.vtt (3.9 KB)
    • 003 Dataset preprocessing.mp4 (14.8 MB)
    • 003 Dataset preprocessing_en.vtt (5.7 KB)
    • 004 Loading the MobileNet V2 model.mp4 (14.8 MB)
    • 004 Loading the MobileNet V2 model_en.vtt (3.3 KB)
    • 005 Freezing the pre-trained model.mp4 (2.6 MB)
    • 005 Freezing the pre-trained model_en.vtt (1.6 KB)
    • 006 Adding a custom head to the pre-trained model.mp4 (8.9 MB)
    • 006 Adding a custom head to the pre-trained model_en.vtt (3.7 KB)
    • 007 Defining the transfer learning model.mp4 (10.0 MB)
    • 007 Defining the transfer learning model_en.vtt (2.1 KB)
    • 008 Compiling the Transfer Learning model.mp4 (4.9 MB)
    • 008 Compiling the Transfer Learning model_en.vtt (3.1 KB)
    • 009 Image Data Generators.mp4 (15.4 MB)
    • 009 Image Data Generators_en.vtt (5.6 KB)
    • 010 Transfer Learning.mp4 (7.6 MB)
    • 010 Transfer Learning_en.vtt (2.8 KB)
    • 011 Evaluating Transfer Learning results.mp4 (3.6 MB)
    • 011 Evaluating Transfer Learning results_en.vtt (1.6 KB)
    • 012 Fine Tuning model definition.mp4 (9.4 MB)
    • 012 Fine Tuning model definition_en.vtt (4.1 KB)
    • 013 Compiling the Fine Tuning model.mp4 (2.5 MB)
    • 013 Compiling the Fine Tuning model_en.vtt (1.3 KB)
    • 014 Fine Tuning.mp4 (4.3 MB)
    • 014 Fine Tuning_en.vtt (2.3 KB)
    • 015 Evaluating Fine Tuning results.mp4 (3.6 MB)
    • 015 Evaluating Fine Tuning results_en.vtt (1.8 KB)
    • external-assets-links.txt (0.1 KB)
    07 - Deep Reinforcement Learning Theory
    • 001 What is Reinforcement Learning.mp4 (24.9 MB)
    • 001 What is Reinforcement Learning_en.vtt (16.9 KB)
    • 002 The Bellman Equation.mp4 (48.2 MB)
    • 002 The Bellman Equation_en.vtt (28.2 KB)
    • 003 Markov Decision Process (MDP).mp4 (42.4 MB)
    • 003 Markov Decision Process (MDP)_en.vtt (24.5 KB)
    • 004 Q-Learning Intuition.mp4 (29.3 MB)
    • 004 Q-Learning Intuition_en.vtt (20.3 KB)
    • 005 Temporal Difference.mp4 (36.6 MB)
    • 005 Temporal Difference_en.vtt (26.1 KB)
    • 006 Deep Q-Learning Intuition - Step 1.mp4 (34.5 MB)
    • 006 Deep Q-Learning Intuition - Step 1_en.vtt (20.5 KB)
    • 007 Deep Q-Learning Intuition - Step 2.mp4 (14.6 MB)
    • 007 Deep Q-Learning Intuition - Step 2_en.vtt (9.0 KB)
    • 008 Experience Replay.mp4 (38.2 MB)
    • 008 Experience Replay_en.vtt (21.9 KB)
    • 009 Action Selection Policies.mp4 (54.4 MB)
    • 009 Action Selection Policies_en.vtt (22.8 KB)
    08 - Deep Reinforcement Learning for Stock Market trading
    • 001 Project Setup.mp4 (9.0 MB)
    • 001 Project Setup_en.vtt (2.6 KB)
    • 002 AI Trader - Step 1.mp4 (11.5 MB)
    • 002 AI Trader - Step 1_en.vtt (6.9 KB)

    • Description

      A Complete Guide on TensorFlow 2.0 using Keras API



      https://DevCourseWeb.com

      MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
      Language: English | Size: 2.58 GB | Duration: 13h 5m

      Build Amazing Applications of Deep Learning and Artificial Intelligence in TensorFlow 2.0

      What you'll learn
      How to use Tensorflow 2.0 in Data Science
      Important differences between Tensorflow 1.x and Tensorflow 2.0
      How to implement Artificial Neural Networks in Tensorflow 2.0
      How to implement Convolutional Neural Networks in Tensorflow 2.0
      How to implement Recurrent Neural Networks in Tensorflow 2.0
      How to build your own Transfer Learning application in Tensorflow 2.0
      How to build a stock market trading bot using Reinforcement Learning (Deep-Q Network)
      How to build Machine Learning Pipeline in Tensorflow 2.0
      How to conduct Data Validation and Dataset Preprocessing using TensorFlow Data Validation and TensorFlow Transform.
      Putting a TensorFlow 2.0 model into production
      How to create a Fashion API with Flask and TensorFlow 2.0
      How to serve a TensorFlow model with RESTful API

      Requirements
      Some maths basics like knowing what is a differentiation or a gradient
      Python basics
      Description
      Welcome to Tensorflow 2.0!



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Udemy - A Complete Guide on TensorFlow 2.0 using Keras API

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2.6 GB
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Udemy - A Complete Guide on TensorFlow 2.0 using Keras API

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