TensorFlow 2.0 Complete Course - Python Neural Networks for Beginners Tutorial
Why Stack Overflow recommends it
Stack Overflow users link it as a beginner-friendly TensorFlow tutorial, and several questions cite specific timestamps from it when asking why their code behaves differently.
Recommended by 1 people across 1 different months, 2020 to 2022.
What it is
A nearly seven-hour freeCodeCamp.org beginner course on TensorFlow 2.0 for Python programmers. It covers core learning algorithms, neural networks, convolutional networks for computer vision, recurrent networks for NLP, and reinforcement learning, with Google Colab notebooks for each module.
What people said
Recommends Hexception · 2021-06 · Stack Overflow · on “Is there an algorithm that finds pattern in seemingly random list of strings?”
Yeah there are plenty of tutorials on youtube e.g.: [this video] But keep in mind that that it will probably take you some time to archive what you are trying to do
Cites Brice Frisco · 2020-05 · Stack Overflow · on “Running model.fit multiple times without reinstantiating the model”
Background I am watching a popular YouTube crash course [this video] on machine learning. At 3:35:50 [this video] , he mentions that the model is likely overfit, so fits it again with less epochs. Since he didn't reinstantiate the model, isn't this equivalent to fitting the model with that same data, thereby continuing to overtrain it? My Question Assume you have a model created and data ready to go. You run: model.fit(train_images, train_labels, epochs=10) model.fit(train_images, train_labels, epochs=8) Is this equivalent to running: model.fit(train_images, train_labels, epochs=18) Or: model.fit(train_images, train_labels, epochs=8) If previously fitted data is overwritten [LINK] , why does running m
Cites R00 · 2020-09 · Stack Overflow · on “code is not loading all the data set and training the model on it?”
hello i am learning to use Tensorflow for machine learning and deep learning, i am following along a video for freeCodeCamp.org [LINK] , and this is the video i am watching TensorFlow 2.0 Complete Course - Python Neural Networks for Beginners Tutorial [this video] . at 4:15:00 (module 5) the presenter begins training the model on the data set, the training set shown is 50000 in the video. while for me the training set that appears when i execute the following code is only 1563. note : the video is broken into modules, in each module the presenter explains a certain topic with some coding, there is a link in the description for each code in google colab. import tensorflow as tf from tensorflow.ker
Cites ScottishTapWater · 2022-09 · Stack Overflow · on “Load XY Coordinates into Basic Tensorflow Linear Regression”
I'm trying to learn the basics of Tensorflow. So I figured a good first step would be to try and do a simple linear regression to ascertain the equation of a line from noisy data. So, my first step is to generate the data: import random; import matplotlib.pyplot as pyplot RAND_RANGE = range(-100,100); X_RANGE = range(-10,10); NOISINESS = 0.5; NOISE_RANGE = range(int(RAND_RANGE.start * NOISINESS), int(RAND_RANGE.stop * NOISINESS)); m = random.randrange(RAND_RANGE.start, RAND_RANGE.stop); # Python devs... Why doesn't a function that gets something IN A RANGE have an overload that takes a range... Huh?! c = random.randrange(RAND_RANGE.start, RAND_RANGE.stop); n = [random.randrange(NOISE_RANGE.s