After completing the course, you will learn… TensorFlow 2.0 Gradient Descent Algorithm Create Pipeline regression model in ...
What you'll learn Tratamiento y procesado de datos en Data Science Aprender a afrontar los principales problemas del machine learning ...
What you'll learn Aprenda na teoria e na prática como construir redes neurais artificiais para resolver problemas reais do dia Aprenda ...
What you'll learn Kerasを使用して高速にディープラーニングモデルを開発できるようになります。 ディープラーニング開発時のパラメーターチューニングのコツを理解し、実践できるようになります。 ...
After completing the course, you will… Fundamental stuff of Python and its library Numpy What is the AI, Machine Learning and Deep Learning ...
After completing the course, you will… Construa perceptrons simples para converter temperaturas de Celsius para Fahrenheit Utilize regressão ...
After completing the course, you will… Train and deploy AI/ML models using AWS SageMaker Optimize model parameters using hyperparameters ...
What you'll learn Artificial Neural Networks (ANNs) / Deep Neural Networks (DNNs) Predict Stock Returns Time Series ...
What you'll learn Complete Understanding of Deep Learning from the Scratch Building the Artificial Neural Networks (ANNs) ...
What you'll learn Deep Learning Basics - Getting started with Anaconda, an important Python data science environment Neural Network Python ...
What you'll learn Harness The Power Of Anaconda/iPython For Practical Data Science Learn How To Install & Use Tensorflow Within ...
What you'll learn Get a solid understanding of Artificial Neural Networks (ANN) and Deep Learning Understand the business scenarios where ...
What you'll learn NumPy temellerini öğreneceksiniz OpenCV kullanarak resim dosyaları üzerinde çalışma OpenCV ile resim ...
What you'll learn Master Deep Learning on Python Master Machine Learning on Python Learn to use MatplotLib for ...
What you'll learn Q-Learning. Deep Q-Learning. Políticas de gradiente Modelos de Actor-Crítico Gradiente de ...
What you'll learn Artificial Neural Networks (ANNs) / Deep Neural Networks (DNNs) Predict Stock Returns Time Series ...
What you'll learn Understand and implement word2vec Understand the CBOW method in word2vec Understand the skip-gram method in ...
What you'll learn Learn the basic principles of generative models Build a variational autoencoder in Theano and Tensorflow Build a ...
What you'll learn Understand the theory behind principal components analysis (PCA) Know why PCA is useful for dimensionality reduction, ...
What you'll learn Comprenderás la intuición detrás de las redes neuronales artificiales Aplicaras las redes neuronales artificiales desde ...
What you'll learn Introduction to Deep Learning and Neural Networks Understand Deep Learning with Keras Take a big step ...
What you'll learn End-to-end knowledge of TensorFlow TensorFlow concepts, development, coding, applications TensorFlow ...
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What you'll learn Solving regression problems (linear regression and logistic regression) Solving classification problems (naive Bayes ...
What you'll learn Comprendre l'intuition derrière les réseaux de neurones artificiels Comprendre l'intuition derrière les réseaux de ...
What you'll learn Gain a Strong Understanding of TensorFlow - Google’s Cutting-Edge Deep Learning Framework Build Deep Learning Algorithms ...
What you'll learn Why this is important Types of Natural Language Processing Classical vs. Deep Learning Models End to ...
What you'll learn Have a toolbox of the most powerful Computer Vision models Understand the theory behind Computer Vision Master ...
What you'll learn Understand the intuition behind Artificial Neural Networks Apply Artificial Neural Networks in practice ...
What you'll learn La théorie qui se cache derrière le Machine Learning et le Deep Learning Utiliser TensorFlow 2.x pour le Deep ...
What you'll learn To describe what Deep Learning is in a simple yet accurate way To explain how deep learning can be used to build ...