TensorFlow Developer Certificate Exam Prep
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Chris Behrens
6:33:06
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001 Introduction to Machine Learning.txt
001 Introduction to Python Development.txt
001 Machine Learning for Absolute Beginners.txt
001 Using Pythons Math Science and Engineering Libraries.txt
001 What You Need to Know before Starting This Course.mp4
03:49
002 Course Overview.mp4
04:44
002 Study Guide PDF.pdf
003 Labs and Practice Exam.mp4
01:42
004 About the Architect.mp4
02:03
004 Connect with Adam on LinkedIn.txt
004 Connect with Adam on Twitter.txt
001 Install PyCharm.mp4
07:38
001 PyCharm Download.txt
001 Python 3.8.txt
001 TensorFlow Developer Certificate Exam Environment Setup Guide.pdf
002 Set Up PyCharm.mp4
08:07
002 TensorFlow Developer Certificate Exam Environment Setup Guide.pdf
001 Introducing the Basics of TensorFlow.mp4
00:37
002 What Is a Tensor.mp4
03:18
003 Understanding Rank 0 Tensors.mp4
02:27
004 Understanding Rank 1 Tensors.mp4
04:31
005 Understanding Rank 2 Tensors.mp4
04:37
006 Understanding Rank 3 Tensors and Beyond.mp4
05:54
007 How Does a Tensor Flow.mp4
08:58
008 Keras.mp4
07:12
009 Reviewing the TensorFlow Basics.mp4
01:07
001 Introducing Neural Nets in TensorFlow.mp4
02:39
002 Deep Neural Network (DNN).mp4
08:02
002 Dense Layer.txt
002 Universal Approximation Theorem.txt
003 AlexNet.pdf
003 Conv1D Layer.txt
003 Conv2D Layer.txt
003 Convolutions.mp4
10:21
003 Sobel Edge Detection Filter.txt
004 AvgPool1D.txt
004 AvgPool2D.txt
004 MaxPool1D.txt
004 MaxPool2D.txt
004 Pooling.mp4
04:12
005 Convolutional Neural Network (CNN).mp4
03:54
005 Flatten Layer.txt
006 Recurrent Neural Network (RNN).mp4
13:09
007 Loss Functions.mp4
10:48
007 TensorFlow Loss Functions.txt
008 Adam.pdf
008 List of TensorFlow optimizers.txt
008 Optimizers.mp4
05:52
008 RMSProp.pdf
008 Stochastic Gradient Descent.pdf
009 Activation Functions.mp4
04:30
010 Neural Network Review.mp4
01:45
001 Data In Overview.mp4
03:12
002 Concrete Slump Test Dataset.txt
002 Concrete Slump Test Wikipedia.txt
002 Reading CSV.mp4
10:00
002 csv Module.html
002 urllib.html
003 NOAA Climate At A Glance Yearly Precipitation.txt
003 Reading JSON.mp4
09:20
003 json Module.html
003 urllib.html
004 Fashion MNIST Database.txt
004 ImageDataGenerator.txt
004 Keras get file Function.txt
004 Preprocessed FMNIST Test Data.txt
004 Reading Images.mp4
13:37
005 Keras text dataset from directory.txt
005 Large Movie Reviews.txt
005 Large Movie Review Dataset.txt
005 Reading Plain Text.mp4
10:36
005 TensorFlow TextLineDataset.txt
005 Tiny Frankenstein Dataset.txt
006 TensorFlow Dataset API.txt
006 Using the Dataset API.mp4
11:31
007 Dataset API Map Function.txt
007 Reading TFRecord.mp4
07:17
007 TFRecordDataset.txt
007 TFRecordWriter.txt
007 parse tensor Function.txt
007 serialize tensor Function.txt
001 CIFAR-10 TensorFlow Datasets.txt
001 Image Data Wrangling.mp4
08:35
001 TensorFlow Datasets API Split.txt
002 Building an Image Classification Model.mp4
12:59
002 EarlyStopping Callback.txt
002 ModelCheckpoint Callback.txt
002 TensorFlow Metrics.txt
003 Evaluating the Image Classification Model.mp4
12:29
003 Keras load model Function.txt
003 Model.txt
004 Dropout Layer.txt
004 ImageDataGenerator Flow Method.txt
004 Improving the Image Classification Model.mp4
15:32
004 Papers With Code CIFAR-10 Leaderboard.txt
001 Series and Sequence Overview.mp4
00:48
002 Dataset API Window Function.txt
002 Metro Interstate Traffic Volume UCI ML Repository.txt
002 Series and Sequence Data Wrangling.mp4
15:16
003 Building a Series and Sequence Model.mp4
14:26
003 Conv1D Layer.txt
003 LSTM Layer.txt
003 Mean Squared Error Loss Function.txt
004 Evaluating the Series and Sequence Model.mp4
08:54
004 load model Function.txt
005 Adam Optimizer.txt
005 Improving Series and Sequence Models.mp4
12:26
005 Mean Absolute Percentage Error Loss Function.txt
005 Normalization Strategies.txt
005 Perfectly Spherical Cows.txt
005 tf.txt
001 Introducing Natural Language Processing.mp4
04:04
002 Large Movie Review Dataset.txt
002 Natural Language Data Wrangling.mp4
10:38
002 Tokenizer.txt
002 pad sequences Function.txt
003 Data Wrangling in a Natural Language Processing Model.mp4
07:56
003 Embedding Layer.txt
004 Bidirectional Layer.txt
004 Building a Natural Language Processing Model.mp4
12:31
004 Embedding Layer.txt
005 Evaluating the NLP Model.mp4
12:51
005 Layer Attributes.txt
005 Model Attributes.txt
006 BERT Research Paper.txt
006 ELMo Research Paper.txt
006 GPT-3 Research Paper.txt
006 GloVe Global Vectors for Word Representation.txt
006 Improving the NLP Model.mp4
15:14
006 fastText.txt
007 NLP Review.mp4
03:14
001 Available Resources.mp4
07:19
001 Google Colab.txt
001 TensorFlow Datasets Catalog.txt
001 TensorFlow Documentation.txt
001 TensorFlow YouTube channel.txt
001 UC Irvine Machine Learning Repository.txt
002 Taking the Exam.mp4
05:43
002 TensorFlow Developer Certificate.txt
003 ACG Community Discord.txt
003 Exam Tips.mp4
04:42
001 Course Summary.mp4
05:26
002 Community Discord.txt
002 Connect with Adam on LinkedIn.txt
002 Connect with Adam on Twitter.txt
002 Kaggle.txt
002 TensorFlow Datasets Catalog.txt
002 UCI Machine Learning Repository.txt
002 Whats Next.mp4
04:34
Description
TensorFlow Developer Certificate Exam Prep
What You'll Learn?
Do you want to learn more about machine learning? Do you want to code your own machine learning projects? Do you want to get certified in one of the most popular machine learning frameworks? This course is for you! TensorFlow is a fantastic tool for both beginners and experts in machine learning. In this course, we will build up our understanding of TensorFlow and neural networks from first principles. What is a tensor? How does it flow? How can you use these tools to teach machines? Once we're comfortable with the basic building blocks, we'll create models to explore the three main areas covered by the TensorFlow Developer Exam: Computer Vision, Sequence Forecasting, and Natural Language Processing. After you've built models along with me, you'll have the opportunity to practice your skills on similar problems in our labs! Come jump start your machine learning understanding and your career!
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Chris Behrens
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Acloud Guru
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- language english
- Training sessions 53
- duration 6:33:06
- English subtitles has
- Release Date 2023/12/10
