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Download The Complete Convolutional Neural Network with Python 2022

Download The Complete Convolutional Neural Network with Python 2022

What you would learn in The Complete Convolutional Neural Network with Python 2022 course?

Are you interested in the field of Machine Learning, Deep Learning as well as Artificial Intelligence? This course is the perfect ideal for you!

This course was designed by an engineer in the field of software. I'm hoping that with the expertise and experience I accumulate over my career, I can impart my knowledge and help you understand complicated theories of algorithms, coding, and libraries in a way that is easy to understand.

I will guide you step-by-step through Deep Learning. Through each tutorial, you'll develop new skills and increase your knowledge of this challenging yet lucrative field: Data Science.

This course is enjoyable and thrilling, yet simultaneously we dive deep into Recurrent Neural networks. In the new edition of this course, we will cover numerous tools and technologies, which include:

  • Deep Learning.

  • Google Colab

  • Keras.

  • Matplotlib.

  • Splitting data into Test and Training Set.

  • Training Neural Network.

  • Model building.

  • Analyzing Results.

  • Model compilation.

  • Make a prediction.

  • Accuracy of Testing.

  • Confusion Matrix.

  • Autoencoder.

  • Numpy.

  • Pandas.

  • Tensorflow.

  • Sentiment Analysis.

  • Matplotlib.

  • DeepDream

  • Inception

  • Data Augmentation

  • Conv2D

  • MaxPooling2D

  • Early Stopping

  • VGG

  • MinMaxScaler.

Additionally, the course is filled with exercises inspired by real-world scenarios. This means that you will not only master the concepts and concepts, but you'll also be able to practice creating the models of your choice. Many projects allow you to work on and increase your knowledge. The projects listed below:

  • CIFAR-10.

  • Image Combination.

  • Movie Review sentiment.

  • Clothing Image.

Content of the Course

  • DeepDream
  • Data augmentation
  • VGG
  • Inception
  • Data augmentation
  • Con2D
  • MaxPooling2D
  • EarlyStopping
  • Matplotlib
  • Confusion matrix
  • Pandas
  • Numpy
  • MinMaxScaler
  • Google Colab
  • Deep Learning.
  • Training Neural Network.
  • Separating Data into Test and Training Set.
  • Accuracy of Testing.
  • Confusion Matrix.
  • Create a Prediction.
  • Model compilation.

Download The Complete Convolutional Neural Network with Python 2022 from below links NOW!

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