adventuresinmachinelearning.com

GENERAL
META
HTML
LINK ANALYSIS
SERVER
IP

Adventuresinmachinelearning.com recives any estimated n/a unique visitors and n/a unique page views per day. Revenue gained from these much visits may be n/a per day from various advertising sources. The estimated worth of site is n/a.

Website Age n/a
Alexa Rank no-data
Country United States
IP Address 162.241.253.219

META INFORMATION

Title

Adventures in Machine Learning - Learn and explore machine learning

Description

Learn and explore machine learning

Keywords

Content Type

utf-8

No	Meta Name	Value
1	viewport	width=device-width, initial-scale=1.0
2	robots	index, follow

google ads

GENERAL HTML INFORMATION

Type	Status
HTML 5
Responsive Website

HTML SIZE INFORMATION

Text / Code Ratio 52.08 %

adventuresinmachinelearning.com has a website text/code ratio of 52.08 %. Search engine crawlers tend to not pick up pages with inadequate content.

IMPORTANT HTML TAGS AND COUNTS

Titles

H17
H245
H339
H40
H50
H60

No	Text
1	A recap of deep q learning
2	The problem with deep q learning
3	An introduction to double q reinforcement learning
4	Tensorflow 2 metrics
5	Tensorflow 2 summaries
6	Tensorflow 2 metrics and summaries – cnn example
7	Tensorflow 2 keras metrics and summaries

No	Text
1	Policy gradient reinforcement learning in tensorflow 2
2	Policy gradients and their theoretical foundation
3	Finding the policy gradient
4	Calculating the policy gradient
5	Policy gradient reinforcement learning in tensorflow 2 and keras
6	Prioritised experience replay in deep q learning
7	Prioritised experience replay
8	ımplementing prioritised experience replay in tensorflow 2
9	Prioritised experience replay atari space ınvader training results
10	Sumtree introduction in python
11	Weighted sampling and sorting
12	ıntroduction to the sumtree
13	The sumtree in python
14	Trying out the sumtree
15	Atari space ınvaders and dueling q rl in tensorflow 2
16	Double and dueling q learning recap
17	Considerations for training in an atari environment
18	Atari space ınvaders tensorflow 2 implementation
19	Miscellaneous functions
20	The dueling q / double q training function
21	The main atari training loop
22	Space ınvader atari training results
23	Dueling q networks in tensorflow 2
24	A recap of double q learning
25	Dueling q introduction
26	Dueling q network in tensorflow 2
27	ıntroduction to resnet in tensorflow 2
28	ıntroduction to the resnet architecture
29	Building resnet in tensorflow 2
30	Resnet training and validation results
31	Double q reinforcement learning in tensorflow 2
32	The double dqn network
33	A double q network example in tensorflow 2
34	Double q results for a deterministic case
35	Double q results for a stochastic case
36	Transfer learning in tensorflow 2 tutorial
37	What are the benefits of transfer learning?
38	How to create a transfer learning model
39	Transfer learning in tensorflow 2
40	An introduction to global average pooling in convolutional neural networks
41	Global average pooling
42	Global average pooling with tensorflow 2 and cats vs dogs
43	Standard fully connected cla***ifier results
44	Global average pooling results
45	Metrics and summaries in tensorflow 2

No	Text
1	Eager to build deep learning systems in tensorflow 2? get the book here (14)
2	Prioritised experience replay in a double q setting
3	Drawing prioritised samples
4	ımportance sampling
5	Sampling and the sumtree data structure
6	Double q recap
7	Dueling q recap
8	Converting atari images to greyscale and reducing the image size
9	Stacking image frames
10	Model definition (2)
11	The memory cla***
12	Other functions
13	The main dueling q training loop
14	Dueling q vs double q results
15	The degradation problem
16	The resnet solution
17	Eager to build deep learning systems? get the book here (6)
18	A smaller cnn model
19	Resnet50 transfer learning example
20	Comparing the models

Text Styling

STRONG26
B0
EM372
I4
U0
CITE0

STRONG

No	Text
1	here (20)
2	Advantage function A(s, a):
3	Value function V(s):
4	It speeds up learning
5	It needs less data:
6	You can leverage the expert tuning of state-of-the-art models
7	training

No	Text
1	a (14)
2	s (12)
3	policy
4	directly.
5	Policy Gradient
6	expected
7	x (7)
8	trajectory
9	T (3)
10	given
11	log
12	total length of the episode
13	all subsequent states
14	full episode
15	output (3)
16	reduce_sum
17	.
18	network,
19	discounted_rewards
20	target (9)
21	rewards (2)
22	rewards[::-1]
23	for (5)
24	(discounted_rewards.reverse()).
25	train_on_batch (5)
26	done (2)
27	network (3)
28	update_network (2)
29	train_writer
30	experience replay
31	Prioritised Experience Replay (PER)
32	uniformly
33	should be
34	i.
35	primary network
36	i
37	expected value
38	skewing or biasing
39	importance sampling
40	N
41	size
42	curr_write_idx
43	update (4)
44	adjust_priority
45	available_samples
46	num_samples
47	is_weights
48	states (4)
49	next_states (4)
50	error
51	get_per_error (2)
52	append
53	all
54	value (14)
55	value =
56	left, right
57	parent (2)
58	left (2)
59	right (2)
60	create_leaf (2)
61	is_leaf
62	True
63	leaf_nodes
64	nodes (5)
65	next()
66	pair
67	next node
68	(node_1, node_2
69	(node_3, node_4
70	)
71	node_1, node_2
72	node_1
73	node_2
74	while len(nodes) > 1
75	nodes[0]
76	node
77	node.left.value
78	change (3)
79	propagate_changes
80	itself
81	does
82	input
83	create_tree
84	root_node (3)
85	tree_total
86	retrieve
87	max
88	primary (2)
89	argmax (3)
90	identifiability
91	hard
92	direction
93	call (4)
94	max_memory (2)
95	self._i (3)
96	rand_idxs
97	idx – 1 – NUM_FRAMES
98	idx – 1
99	idx – 1.
100	idx
101	choose_action
102	epsilon-greedy
103	eps,
104	train (4)
105	prim_qt (7)
106	prim_qtp1
107	qtp1
108	t + 1 (2)
109	updates (2)
110	valid_idxs (2)
111	target_network (5)
112	N(2, 1).
113	b (6)
114	N(1, 4)
115	a, b,
116	c.
117	b.
118	c (2)
119	t (2)
120	target network (2)
121	advantage
122	s*,
123	n (2)
124	dueling
125	dense1
126	dense2
127	adv_dense
128	adv_out (2)
129	(adv_out).
130	num_actions
131	v_dense
132	lambda x: x – tf.reduce_mean(x)
133	combined
134	primary_network (2)
135	degradation
136	not
137	training
138	and training
139	H(x) (3)
140	at least
141	at worst,
142	pa* through (3)**
143	make things worse
144	option
145	F(x) (4)
146	F(x) + x
147	incremental
148	Res
149	res_net_block
150	r (3)
151	E[r].
152	biased
153	A (4)
154	E[r]
155	Ra
156	np.zeros()
157	Rc (2)
158	Rd (2)
159	max_result
160	and
161	choice
162	evaluation (2)
163	a* (2)
164	extracted from network B
165	actions
166	num_episodes
167	choose_network
168	env.step()
169	double_q (2)
170	while
171	next_state (4)
172	target_q (5)
173	batch_idxs,
174	arange
175	q_from_target (2)
176	transfer learning
177	tensorflow_datasets (3)
178	tfds.load() (2)
179	info (2)
180	cat_train, cat_valid and cat_test
181	tf.image.resize (2)
182	tf.float32 (2)
183	tf.keras.applications
184	weights
185	include_top
186	tl_model.summary()
187	somewhere,
188	fit (4)
189	update_state() (3)
190	result() (4)
191	reset_states() (2)
192	with (4)
193	step
194	iterations
195	avg_loss
196	avg_acc
197	spa****
198	log_freq
199	epoch
200	summary_writer.as_default()
201	compile
202	keras.layers.Layer
203	layer_to_log.variables[0]

No	Text
1	s, independent
2	F(x) = H(x) – x.
3	while True
4	target_q

LINK ANALYSIS

Total Link Count: 279

Internal Link Count : 227

No	Text	Type
1	About	text
2	Coding the Deep Learning Revolution eBook	text
3	Contact	text
4	Ebook / newsletter sign-up	text
5	-	image
6	-	text
7	Policy Gradient Reinforcement Learning in TensorFlow 2	text
8	admin	text
9	Deep learning	text
10	Policy Gradient	text
11	Reinforcement learning	text
12	TensorFlow 2.0	text
13	here	text
14	here	text
15	here	text
16	here	text
17	here	text
18	this post	text
19	ReLU	text
20	here	text
21	-	text
22	Prioritised Experience Replay in Deep Q Learning	text
23	admin	text
24	Deep learning	text
25	Dueling Q	text
26	Prioritised Experience Replay	text
27	Reinforcement learning	text
28	here	text
29	here	text
30	here	text
31	Dueling Q network architecture	text
32	the SumTree algorithm	text
33	here	text
34	this post	text
35	Double Q	text
36	here	text
37	Dueling Q learning in Atari environments	text
38	my previous post	text
39	SumTree	text
40	this post	text
41	SumTree	text
42	this post	text
43	here	text
44	this post	text
45	here	text
46	here	text
47	here	text
48	-	image
49	-	text
50	SumTree introduction in Python	text

External Link Count : 52

No	Text	Type
1	Open AI gym Cartpole environment	text
2	this site’s Github repository	text
3	conditional probabilities	text
4	source code	text
5	Cartpole environment	text
6	this site’s Github repository	text
7	this site’s Github repository	text
8	the Huber loss function	text
9	expected value	text
10	importance sampling	text
11	original paper	text
12	this site’s Github repo	text
13	Space Invaders Atari OpenAI environment	text
14	this site’s Github repo	text
15	answers here	text
16	Cartpole	text
17	Atari Space Invaders	text
18	this site’s Github repository	text
19	here	text
20	this site’s Github repository	text
21	Google Cloud Compute Engine	text
22	Open AI gym	text
23	this site’s Github repo	text
24	Open AI Gym’s	text
25	CartPole environment	text
26	this site’s Github repo	text
27	the original Dueling Q paper	text
28	this paper	text
29	TensorFlow 2	text
30	this site’s Github repository	text
31	original ResNet paper	text
32	here	text
33	the original paper	text
34	CIFAR-10 cla***ification task	text
35	this site’s Github repository	text
36	here	text
37	here	text
38	paper	text
39	this paper	text
40	OpenAI gym	text
41	this site’s Github repo	text
42	here	text
43	the official TensorFlow tutorial	text
44	split object	text
45	ImageNet dataset	text
46	this site’s Github repository	text
47	the original paper	text
48	this link	text
49	split object	text
50	my Github repository	text
51	best practice	text
52	Thrive Themes	text

Nofollow Link Count : 0

Title Link Count : 0

WEBSITE SERVER INFORMATION

Service Provider (ISP)
Oso Grande IP Services, LLC
Hosted IP Address
162.241.253.219
Hosted Country
United States
Host Region
Utah , Provo
Latitude and Longitude
40.2067 : -111.643

WEBSITES USING THE SAME C CLASS IP

Icon	Domain	IP	Alexa Rank
	Monstermikeschultz.com	162.241.253.102	3.100.205
	Myjearney.com	162.241.253.105	114.233
	Almokawil.com	162.241.253.105	329.713
	Xdarom.com	162.241.253.111	111.756
	Jawabe.com	162.241.253.111	305.542
	Midnightboats.com	162.241.253.117	1.265.116
	Technologyocean.com	162.241.253.12	222.825
	Wowschdeule.com	162.241.253.120	1.774.547
	Fusionqatar.com	162.241.253.135	1.308.101
	Ofcourseme.com	162.241.253.138	1.249.263
	Greenandgoldcleaning.com	162.241.253.144	557.100
	Collectiveconsciousness.com	162.241.253.144	4.151.151
	Integrothemes.com	162.241.253.147	254.325
	Loidich.com	162.241.253.147	761.358
	Thebiznews.org	162.241.253.15	620.842
	Picklaptop.com	162.241.253.162	571.065
	Stepsforahealthylife.com	162.241.253.168	2.679.782
	Thegutzlife.com	162.241.253.171	54.446
	Wpclam.com	162.241.253.18	1.026.110
	Elirodrigues.com	162.241.253.180	616.926
	E-Marketinglovers.com	162.241.253.192	176.262
	Roadmasterinc.com	162.241.253.195	820.991
	Smart-Techno.net	162.241.253.198	183.877
	Health-Beautyclub.com	162.241.253.198	936.076
	Political-Encyclopedia.org	162.241.253.198	277.595
	Iviews.club	162.241.253.204	200.270
	Viralteambuildersystem.com	162.241.253.204	440.309
	Threadsmonthly.com	162.241.253.207	811.439
	Webtechpreneur.com	162.241.253.21	116.679
	Cerdasco.com	162.241.253.225	165.839
	Vabizsolutions.com	162.241.253.225	2.075.622
	Yusiko.az	162.241.253.234	3.629.114
	Goodfood101.com	162.241.253.24	747.710
	Dreamstodiscover.com	162.241.253.240	817.260
	Quranhifzpen.com	162.241.253.240	5.252.213
	Asimot.com	162.241.253.33	4.061.171
	Zectronicss.com	162.241.253.39	822.085
	Oskarhallgrimsson.com	162.241.253.45	563.788
	Amrak-Ku.com	162.241.253.51	257.271
	Affinteractive.com	162.241.253.57	116.208
	Xbytesangola.com	162.241.253.60	24.654
	Dappertappermagazine.com	162.241.253.60	277.118
	Brightmil.com	162.241.253.69	1.799.358
	Sellerinsiders.com	162.241.253.78	157.483
	Jobnow.ng	162.241.253.84	112.001
	Schoolofchrist.tv	162.241.253.84	617.292
	Theshortordercook.com	162.241.253.90	37.074
	Mercytohumanity.org.uk	162.241.253.93	216.712
	Codedirection.com	162.241.253.93	5.242.933
	Jesschatenay.com	162.241.253.96	3.297.552

COUNTRIES More

Last Updated Websites

Last viewed websites

google ads

LASTEST ANALYZED WEBSITES

HOW DO I REMOVE MY WEBSITE ?

REPORT THIS WEBSITE

Website Analysis

SHARE THIS ANALYSIS

Analyzing...